Artificial Intelligence, Cognition, and Robotics

Transcription

Artificial Intelligence, Cognition,
and Robotics
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Professor Joseph Vaisman
Department of Computer Science and Engineering, NYU-Poly
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Table of Contents
Introduction to AI
AI Programming: LISP
AI Programming: Prolog
On Our Best Behaviour
The Manifest Destiny of Artificial Intelligence
MT and Computational Linguistics
Neural Networks
Self-Organizing Maps
Vagueness
Fuzzy Sets and Fuzzy Logic
Lofti A. Zadeh – Then and Now
Rough Sets
Uncertainty in AI
Preferences and Decision-Making in AI
Statistics and AI: Bayesian Networks
Statistics and AI: MLE
Statistics and AI: Statistical Learning Theory
Evolutionary Computation
Machine Learning
Computational Intelligence
Debates in AI: the Turing Test
Debates in AI: the Chinese Room Argument
Debates in AI: the CRA Continues
Debates in AI: The Emperor’s New Mind
Debates in AI: Singularity Hypotheses
Thoughts, Ideas, Opinions, and Surveys
AI and Game Theory
Argumentation in AI
Asimov’s Laws, Humanlike Robots, and Ethics
Robotics
History of AI
Cognition
Cognitive Architecture
Embodied Cognition
What Can AI Get from Neuroscience?
Legal Matters
Reference Material
Additional Web Resources
Online Periodicals – Directly
Odds & Ends
Introduction to AI
======================
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Brian Hayes
American Scientist, Volume 100, Number 4 (July-August 2012)
http://dx.doi.org/10.1511/2012.97.282
Computing Machinery and Intelligence
A. M. Turing
Mind, New Series, Volume 59, Number 236 (October 1950)
http://cogprints.org/499/
http://dx.doi.org/10.1093/mind/LIX.236.433
Artificial Intelligence Tutorial Review
Eyal Reingold and Jonathan Nightingale
http://psych.utoronto.ca/users/reingold/courses/ai/
On our best behavior
Hector J. Levesque
Artificial Intelligence, Volume 212 (July 2014)
http://www.cs.toronto.edu/~hector/Papers/
http://dx.doi.org/10.1016/j.artint.2014.03.007
What is Artificial Intelligence?
http://www-formal.stanford.edu/jmc/whatisai/
Artificial Intelligence – A Conversation with
John McCarthy (March 1989)
http://www.youtube.com/watch?v=Ozipf13jRr4
John McCarthy,
Professor Emeritus of Computer Science, Stanford University
http://www-formal.stanford.edu/jmc/
Wikipedia:
http://en.wikipedia.org/wiki/John_McCarthy_(computer_scien
tist)
Artificial Intelligence: Foundations of Computational Agents
David Poole and Alan Makworth
Cambridge University Press, 2010, ISBN 9780511794797
http://www.cs.ubc.ca/~poole/aibook/index.html
http://dx.doi.org/10.1017/CBO9780511794797
AI in the 21st Century – With Historical Reflections
Max Lungarella, Fumia Lida, Josh C. Bongard, and Rolf Pfeifer
http://dx.doi.org/10.1007/978-3-540-77296-5_1
Fifty Years of AI: From Symbols to Embodiment – and
Back
Luc Steels
http://dx.doi.org/10.1007/978-3-540-77296-5_3
2006: Celebrating 75 Years of AI – History and Outlook:
The Next 25 Years
Jurgen Schmidhuber
http://dx.doi.org/10.1007/978-3-540-77296-5_4
Steve M. Potter
http://dx.doi.org/10.1007/978-3-540-77296-5_17
Tests of Machine Intelligence
Shane Legg and Marcus Hutter
http://dx.doi.org/10.1007/978-3-540-77296-5_22
50 Years of Artificial Intelligence: Essays Dedicated
to the 50th Anniversary of Artificial Intelligence
Max Lungarella, Fumiya Iida, Josh Bongard, and Rolf Pfeifer
(Editors)
Springer, 2007, ISBN 978-3-540-77296-5, LNCS 4850
http://dx.doi.org/10.1007/978-3-540-77296-5
The Quest for Artificial Intelligence:
A History of Ideas and Achievements
Nils J. Nilsson
Errata
http://ai.stanford.edu/~nilsson/QAI/qai-webpage.html
Nils J. Nilsson Website
http://robotics.stanford.edu/~nilsson/
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Artificial Dreams: The Quest for Non-Biological Intelligence
H. R. Ekbia
Cambridge University Press, 2008, 9780511802126
Artificial intelligence: an empirical science
Herbert A. Simon
http://dx.doi.org/10.1016/0004-3702(95)00039-H
Artificial Intelligence, Volume 77, Number 1 (August 1995)
Wikipedia:
http://en.wikipedia.org/wiki/Herbert_A._Simon
Artificial Intelligence Illuminated
Ben Coppin
Jones and Bartlett, 2004, ISBN 9780763732301
**** Login to books24X7 digital library and search on the ISBN
number above ***************************************
Artificial Intelligence in the 21st Century:
A Living Introduction
Stephen Lucci and Danny Kopec
Mercury Learning, 2013, ISBN 9781936420230
number above ***************************************
Artificial Intelligence Problems and Their Solutions
Danny Kopec, Shweta Shetty, and Christopher Pileggi
Mercury Learning, 2014, 9781938549830
number above ***************************************
The Cambridge Handbook of Artificial Intelligence
Keith Frankish and William M. Ramsey (Editors)
The Challenge and Promise of Artificial Intelligence
Dr. Eric Horvitz (Microsoft) and Dr. Peter Norvig (Google)
(November 2011)
http://www.youtube.com/watch?v=VxF841qbLfs
Introduction to Artificial Intelligence
Wolfgang Ertel
Springer, 2011, ISBN 978-0-85729-299-5
http://dx.doi.org/10.1007/978-0-85729-299-5
Why Greatness Cannot Be Planned: The Myth of the Objective
Kenneth O. Stanley and Joel Lehman
Springer, 2015, ISBN 978-3-319-15524-1
http://dx.doi.org/10.1007/978-3-319-15524-1
The Man Who Would Teach Machines to Think
James Somers
The Atlantic (November 2013)
http://www.theatlantic.com/magazine/archive/2013/11/theman-who-would-teach-machines-to-think/309529/
Noam Chomsky on Where Artificial Intelligence Went Wrong
Yarden Katz
http://www.theatlantic.com/technology/archive/2012/11/noa
m-chomsky-on-where-artificial-intelligence-wentwrong/261637/
What Is Artificial Intelligence?
Jack Copeland
AlanTuring.net – Reference Articles on Turing
http://www.alanturing.net/turing_archive/pages/Reference%2
0Articles/What%20is%20AI.html
Website of Jack Copeland
http://www.saps.canterbury.ac.nz/phil/people/copeland.shtml
Wikipedia:
http://en.wikipedia.org/wiki/Jack_Copeland
What is Artificial Intelligence? Psychometric AI as an Answer
Selmer Bringsjord and Bettina Schimanski
Proceedings of International Joint Conferences on Artificial
Intelligence, IJCAI-03
http://ijcai.org/Past%20Proceedings/IJCAI-2003/PDF/128.pdf
Online Library, Psychometric AI
http://rair.cogsci.rpi.edu/pai/library/
Why Minds Are Not Like Computers
Ari N. Shulman
The New Atlantis (Winter 2009)
http://www.thenewatlantis.com/publications/why-minds-arenot-like-computers
Why People Think Computers Can’t?
http://web.media.mit.edu/~minsky/papers/ComputersCantThi
nk.txt
A Framework for Representing Knowledge
http://web.media.mit.edu/~minsky/papers/Frames/frames.ht
ml
Marvin Minsky Website
http://web.media.mit.edu/~minsky/
Wikipedia:
http://en.wikipedia.org/wiki/Marvin_Minsky
The Sciences of the Artificial, Third Edition
Herbert A. Simon
MIT Press, 1996
http://courses.washington.edu/thesisd/documents/Kun_Herbe
rt%20Simon_Sciences_of_the_Artificial.pdf
Back to the Table of Contents
=======================================
AI Programming: LISP ===================
The Art of Lisp Programming
Robin Jones, Clive Maynard, and Ian Stewart
Springer, 1990, ISBN 978-1-4471-1719-3
http://dx.doi.org/10.1007/978-1-4471-1719-3
Educational Resources (books, etc.)
http://franz.com/resources/educational_resources/
Franz Inc.
http://franz.com/
LISP, Lore, and Logic:
An Algebraic View of LISP Programming, Foundations,
and Applications
W. Richard Stark
Springer, 1990, ISBN 978-1-4613-8931-6
http://dx.doi.org/10.1007/978-1-4613-8931-6
Logic Programming with Prolog, Second Edition
Max Bramer
Springer, 2013, ISBN 978-1-4471-5487-7
http://dx.doi.org/10.1007/978-1-4471-5487-7
On Lisp: Advanced Techniques for Common Lisp
Paul Graham
Prentice Hall, 1993
http://www.paulgraham.com/onlisp.html
Practical Common Lisp
Peter Seibel
Springer, 2005, ISBN 978-1-4302-0017-8
http://www.gigamonkeys.com/book/
http://dx.doi.org/10.1007/978-1-4302-0017-8
Structure and Interpretation of Computer Programs,
Second Edition
Harold Abelson and Gerald Jay Sussman, with Julie Sussman
MIT Press, 1996
https://mitpress.mit.edu/sicp/full-text/book/book.html
Structure & Interpretation of Computer Programs
Harold Abelson and Gerald Jay Sussman
Lecture 1A – Overview: Introduction to Lisp
http://www.youtube.com/watch?v=2Op3QLzMgSY
Lecture 1B – Procedures & Processes: Substitution Model
http://www.youtube.com/watch?v=dlbMuv-jix8
Resources for Functional Programming
Jim Bender
http://www.readscheme.org/
Collection of Lisp / Scheme Books and online resources
Bill Bradford
http://www.lispmachine.net/
Collection of Lisp / Scheme Books and online resources
Paul Graham
http://www.paulgraham.com/lisp.html
=======================================
AI Programming: Prolog =================
The Art in Artificial Intelligence (Chapter 1)
http://dx.doi.org/10.1007/3-540-47938-4_1
Agent-Oriented Programming:
From Prolog to Guarded Definite Clauses
Matthew M. Huntbach and Graem A. Ringwood
Springer, 1999, ISBN 978-3-540-47938-3, LNAI 1630
http://dx.doi.org/10.1007/3-540-47938-4
Clause and Effect:
Prolog Programming for the Working Programmer
William F. Clocksin
Springer, 1997, ISBN 978-3-642-58274-5
http://dx.doi.org/10.1007/978-3-642-58274-5
Language Processing with Perl and Prolog: Theories,
Implementation, and Application; Second Edition
Pierre M. Nugues
Springer, 2014, ISBN 978-3-642-41464-0
http://dx.doi.org/10.1007/978-3-642-41464-0
Programming in Prolog, Fifth Edition
W.F. Clocksin and C.S. Mellish
Springer, 2003, ISBN 978-3-642-55481-0
http://dx.doi.org/10.1007/978-3-642-55481-0
=======================================
On Our Best Behaviour ==================
On our best behavior
Hector J. Levesque
Artificial Intelligence, Volume 212 (July 2014)
*** see under Miscellaneous ****************
http://www.cs.toronto.edu/~hector/Papers/
DBLP:
http://www.informatik.unitrier.de/~ley/pers/hd/l/Levesque:Hector_J=.html
Precision-focused Textual Inference
D. G. Bobrow, C. Condoravdi, R. Crouch, V. de Pavia, L. Karttunen, T.
H. King, R. Nairn, L. Price, and A. Zaenen
Proceedings of the ACL-PASCAL Workshop on Textual Entailment and
Paraphrasing, RTE ‘07
http://dl.acm.org/citation.cfm?id=1654541
Mind vs. Machine
Brian Christian
**** Excerpted from the author’s book “The Most Human Human”
****
Atlantic Magazine (March 2011)
http://www.theatlantic.com/magazine/print/2011/03/mind-vsmachine/8386/
The Most Human Human: What Artificial Intelligence
Teaches Us About Being Alive
Brian Christian
Santa Fe Institute (February 2012)
http://www.youtube.com/watch?v=8Zs-GQ-ECLs
Reasoning from incomplete knowledge
Allan Collins, Eleanor H. Warnock, Nelleke Aiello, and Mark L. Miller
Bolt, Beranek and Newman Inc. (March 1975)
http://eric.ed.gov/?id=ED104401
The PASCAL Recognising Textual Entailment Challenge
Ido Dagan, Oren Glickman, and Bernardo Magnini
http://dx.doi.org/10.1007/11736790_9
Machine Learning Challenges: Evaluating Predictive Uncertainty,
Visual Object Classification, and Recognizing Textual Entailment;
MLCW 2005
Joaquin Quinonero-Candela, Ido Dagan, Bernardo Magnini,
And Florence d’Alche-Buc (Editors)
Springer, 2006, ISBN 978-3-540-33428-6
http://dx.doi.org/10.1007/11736790
Making Believers out of Computers
Hector J. Levesque
Artificial Intelligence, Volume 30, Number 1 (October 1986)
http://dx.doi.org/10.1016/0004-3702(86)90068-8
Logic and the complexity of reasoning
Hector J. Levesque
Journal of Philosophical Logic,
Volume 17, Number 4 (November 1988)
http://dx.doi.org/10.1007/BF00297511
Is it Enough to Get the Behaviour Right?
Hector J. Levesque
Proceedings of International Joint Conferences on Artificial
Intelligence, IJCAI-09
http://ijcai.org/papers09/Papers/IJCAI09-241.pdf
The Winograd Schema Challenge
Hector J. Levesque, Ernest Davis, and Leora Morgenstern
Thirteenth International Conference on the Principles of Knowledge
Representation and Reasoning, KR-2012
http://www.aaai.org/ocs/index.php/KR/KR12/paper/view/4492
Programs with Common Sense
John McCarthy (1959)
http://www-formal.stanford.edu/jmc/mcc59/mcc59.html
Choice of Plausible Alternatives: An Evaluation of Commonsense
Causal Reasoning
Melissa Roemmele, Cosmin Adrian Bejan, and Andrew S. Gordon
AAAI Spring Symposium on Logical Foundations of Commonsense
Reasoning, 2011
http://people.ict.usc.edu/~gordon/copa.html
Commonsense Reasoning: An Event Calculus Based Approach,
Second Edition
Erik T. Mueller
Elsevier, 2015, ISBN 978-0-12-801416-5
http://www.sciencedirect.com/science/book/9780128014165
Common Sense, Reasoning, and Rationality
Renee Elio (Editor)
Oxford University Press, 2002, ISBN 9780195147667
http://dx.doi.org/10.1093/0195147669.001.0001
A. M. Turing
CAPTCHA: Using Hard AI Problems for Security
Luis von Ahn, Manuel Blum, Nicholas J. Hopper, and John Langford
http://dx.doi.org/10.1007/3-540-39200-9_18
Advances in Cryptology – EUROCRYPT 2003
Eli Biham (Editor)
http://dx.doi.org/10.1007/3-540-39200-9
ELIZA – A Computer Program For the Study of Natural Language
Communication Between Man And Machine
Joseph Weizenbaum
Communications of the ACM, Volume 9, Number 1 (January 1966)
http://dx.doi.org/10.1145/365153.365168
Understanding Natural Language
Terry Winograd
Cognitive Psychology, Volume 3, Number 1 (January 1972)
http://dx.doi.org/10.1016/0010-0285(72)90002-3
What Does It Mean to Understand Language?
Terry Winograd
Cognitive Science, Volume 4, Number 3 (July 1980)
http://dx.doi.org/10.1016/S0364-0213(80)80003-6
http://dx.doi.org/10.1207/s15516709cog0403_1
Knowledge Representation and Reasoning
Ronald J. Brachman and Hector J. Levesque (2003)
http://rair.cogsci.rpi.edu/pai/library/brachmanbook7-17-03.pdf
=======================================
The Manifest Destiny
of Artificial Intelligence =================
This shelf contains links to the original article and items in its
bibliography, and links to additional relevant and useful items.
Brian Hayes
American Scientist,
Volume 100, Number 4 (July-August 2012)
http://dx.doi.org/10.1511/2012.97.282
On Computing column and book reviews
http://www.americanscientist.org/issues/issue_byAuthor_list.a
spx?authorID=6660&pageID=1
Website
http://bit-player.org/
A Statistical Approach to Machine Translation
Peter F. Brown, et al.
http://www.aclweb.org/anthology-new/J/J90/J90-2002.pdf
Computational Linguistics, Volume 16, Number 2 (June 1990)
http://www.aclweb.org/anthology-new/J/J90/
DBLP:
http://www.informatik.unitrier.de/~ley/db/indices/a-tree/b/Brown:Peter_F=.html
Search needs a shake-up
Oren Etzioni
Nature, Volume 476, Issue 7358 (04 August 2011)
http://dx.doi.org/10.1038//476025a
Oren Etzioni Website
http://ai.cs.washington.edu/people/oren-etzioni
Some Challenges and Grand Challenges for Computational
Intelligence
Edward A. Feigenbaum
Journal of the ACM, Volume 50, Number 1 (January 2003)
http://dx.doi.org/10.1145/602382.602400
Wikipedia:
http://en.wikipedia.org/wiki/Edward_Feigenbaum
The Smartest Machine on Earth
https://www.youtube.com/watch?v=tAzeGkuQmUU
JEOPARDY! The IBM Challenge
https://www.youtube.com/watch?v=P0Obm0DBvwI
What is Watson?
http://www-03.ibm.com/innovation/us/watson/what-iswatson/index.html
What’s next for Watson?
http://www-03.ibm.com/innovation/us/watson/
Final Jeopardy! And the Future of Watson,
Panel Discussion @ TED
http://www.ted.com/webcast/archive/event/ibmwatson
A Computer Called Watson (David Ferrucci, November 2011)
http://www.youtube.com/watch?v=ZvbWyREkMkw
Building Watson: An Overview of the DeepQA Project
David Ferrucci, et al.
http://aaai.org/ojs/index.php/aimagazine/article/view/2303
Special Issue on Question Answering
AI Magazine, Volume 31, Number 3 (Fall 2010)
http://aaai.org/ojs/index.php/aimagazine/issue/view/191/sho
wToc
Watson: Beyond Jeopardy!
David Ferrucci, Anthony Levas, Sugato Bagchi, David Gondek,
and Erik T. Mueller
Artificial Intelligence, Volumes 199-200 (June-July 2013)
David Ferrucci – IBM Research
http://researcher.watson.ibm.com/researcher/view.php?perso
n=us-ferrucci
Wikipedia:
http://en.wikipedia.org/wiki/Watson_(computer)
Baseball: an automatic question-answerer
Bert F. Green, Jr., et al.
Proceedings of the Western Joint IRE-AIEE-ACM
Computer Conference ’61
(May 9-11, 1961) Pages 219-224
http://dx.doi.org/10.1145/1460690.1460714
Machine Translation: Past, Present, Future
John Hutchins
Ellis Horwood, 1986, ISBN 0-85312-788-3
********* Some chapters online ***********
http://www.hutchinsweb.me.uk/PPF-TOC.htm
Machine Translation Archive
http://www.mt-archive.info/
Website
http://www.hutchinsweb.me.uk/
Machines Who Think: A Personal Inquiry into the
History and Prospects of Artificial Intelligence
Pamela McCorduck
A K Peters, 2004, ISBN 9781568812052
number above ***************************************
Nils J. Nilsson
Nils J. Nilsson Website
http://robotics.stanford.edu/~nilsson/
Steps toward Artificial Intelligence
Marvin Minsky
Proceedings of the IRE, Volume 49, Number 1 (January 1961)
http://dx.doi.org/10.1109/JRPROC.1961.287775
Smart Machines
The Third Culture, 1995
http://www.edge.org/documents/ThirdCulture/p-Ch.8.html
Wikipedia:
http://en.wikipedia.org/wiki/Nils_Nilsson_(researcher)
Some Studies in Machine Learning Using the Game of
Checkers
A. L. Samuel
IBM Journal of Research and Development,
Volume 3, Number 3 (July 1959)
http://dx.doi.org/10.1147/rd.33.0210
A L Samuel – AI and games pioneer
http://www.i-programmer.info/history/people/669-a-l-samuelai-and-games-pioneer.html
Blondie24: Playing at the Edge of AI
David B. Fogel
Elsevier, 2002, ISBN 978-1-55860-783-5
Go-bot, go
Jonathan Schaeffer, Martin Muller, and Akihiro Kishimoto
IEEE Spectrum, Volume 51, Number 7 (July 2014)
http://dx.doi.org/10.1109/MSPEC.2014.6840803
A Gamut of Games
Jonathan Schaeffer
http://dx.doi.org/10.1609/aimag.v22i3.1570
Checkers Is Solved
Jonathan Schaeffer et al
Science, Volume 317, Number 5844 (September 14, 2007)
http://dx.doi.org/10.1126/science.1144079
Home Page of Jonathan Schaeffer
http://webdocs.cs.ualberta.ca/~jonathan/index.html
One Jump Ahead: Computer Perfection at Checkers,
Revised Edition
Jonathan Schaeffer
Springer, 2009, ISBN 978-0-387-76576-1
http://dx.doi.org/10.1007/978-0-387-76576-1
The Hitchhiker’s Guide to the Galaxy
Douglas Adams, 1979
The Babel Fish, Movie clip
http://www.youtube.com/watch?v=qucf2-ltFMo
The Babel Fish, Chapter 6, Pages 59-61 (or 58-60)
http://www.youtube.com/watch?v=p5mWQFGF7w8
Wikipedia:
http://en.wikipedia.org/wiki/Douglas_Adams
Knowledge Representation, Reasoning, and the Design of
Intelligent Agents: The Answer-Set Programming Approach
Michael Gelfond and Yulia Kahl
Handbook of Knowledge Representation
Frank van Harmelen, Vladimir Lifschitz, and Bruce Porter
(Editors)
Elsevier, 2008, ISBN 978-0-444-52211-5
http://www.sciencedirect.com/science/bookseries/15746526/
3
Computational Logic and Human Thinking
Robert Kowalski
Website of Robert Kowalski
(contains his book “Logic for Problem Solving”,
North-Holland, 1979)
http://www.doc.ic.ac.uk/~rak/
Wikipedia:
http://en.wikipedia.org/wiki/Robert_Kowalski
Chapter 1 The Game of Chess
Herbert A. Simon and Jonathan Schaeffer
http://dx.doi.org/10.1016/S1574-0005(05)80004-9
Handbook of Game Theory: With Economic Applications,
Volume 1
Elsevier, 1992, ISBN 978-0-444-88098-7
Beyond Deep Blue: Chess in the Stratosphere
Monty Newborn
Springer, 2011, ISBN 978-0-85729-340-4
http://dx.doi.org/10.1007/978-0-85729-341-1
Chess Programming Wiki
http://chessprogramming.wikispaces.com/
Perception in Chess
William G. Chase and Herbert A. Simon
Cognitive Psychology, Volume 4, Number 1 (January 1973)
http://dx.doi.org/10.1016/0010-0285(73)90004-2
Templates in Chess Memory:
A Mechanism for Recalling Several Boards
Fernand Gobet and Herbert A. Simon
Cognitive Psychology, Volume 31, Number 1 (August 1990)
http://dx.doi.org/10.1006/cogp.1996.0011
Five Seconds or Sixty? Presentation Time in Expert Memory
Fernand Gobet and Herbert A. Simon
Cognitive Science, Volume 24, Number 4 (October-December
2000)
http://dx.doi.org/10.1016/S0364-0213(00)00031-8
Intuitions without concepts lose the game:
mindedness in the art of chess
Barbara Montero and C. D. A. Evans
Phenomenology and the Cognitive Sciences,
Volume 10, Number 2 (June 2011)
http://dx.doi.org/10.1007/s11097-010-9192-9
Concepts without intuition lose the game:
commentary on Montero and Evans (2011)
Fernand Gobet
http://dx.doi.org/10.1007/s11097-011-9246-7
Max Lungarella, Fumiya Iida, Josh Bongard, and Rolf Pfeifer
(Editors)
http://dx.doi.org/10.1007/978-3-540-77296-5
Beyond Artificial Intelligence:
The Disappearing Human-Machine Divide
Jan Romporti, Eva Zackova, and Josef Kelemen (Editors)
Springer, 2015, ISBN 978-3-319-09668-1
http://dx.doi.org/10.1007/978-3-319-09668-1
Beyond Artificial Intelligence toward Engineered Psychology
Stevo Bozinovski and Liljana Bozinovska
http://dx.doi.org/10.1007/978-3-642-03978-2_16
Paradox in AI – AI 2.0:
The Way to Machine Consciousness
Peter Palensky, Dietmar Bruckner, Anna Tmej, and Tobias
Deutsch
http://dx.doi.org/10.1007/978-3-642-03978-2_18
IT Revolutions: First International ICST Conference 2008,
Revised Selected Papers
Mihaela Ulieru, Peter Palensky, and Rene Doursat (Editors)
Springer, 2009, ISBN 978-3-642-03977-5
http://dx.doi.org/10.1007/978-3-642-03978-2
Bio-Inspired Computing and Networking
Yang Xiao (Editor)
CRC Press, 2011, ISBN 978-1-420-8033-9
http://dx.doi.org/10.1201/b10781
Swarm Intelligence and Bio-Inspired Computation:
Theory and Applications
Xin-She Yang, Zhihua Cui, Renbin Xiao, Amir Hossein Gandomi,
and Mehmet Karamanoglu (Editors)
Elsevier, 2013, ISBN 978-0-12-405163-8
Advances in Bio-Inspired Computing for Combinatorial
Optimization Problems
Camelia-Mihaela Pintea
Springer, 2014, ISBN 978-3-642-40179-4
http://dx.doi.org/10.1007/978-3-642-40179-4
Nature-Inspired Optimization Algorithms
Xin-She Yang
Elsevier, 2014, ISBN 978-0-12-416743-8
Cuckoo Search and Firefly Algorithm: Theory and Applications
Xin-She Yang (Editor)
Springer, 2014, ISBN 978-3-319-02141-6
http://dx.doi.org/10.1007/978-3-319-02141-6
The Triumph of Rationality
Michael Wooldridge
IEEE Intelligent Systems,
Volume 27, Number 1 (January-February 2012) Pages 60-64
http://dx.doi.org/10.1109/mis.2012.20
Computation and the Prisoner’s Dilemma
Michael Wooldridge
Volume 27, Number 2 (March-April 2012)
Cooperative Game Theory: Basic Concepts and
Computational Challenges
Georgios Chalkiadakis, Edith Elkind, and Michael Wooldridge
IEEE Intelligent Systems, Volume 27, Number 3 (May-June
2012)
Does Game Theory Work?
Michael Wooldridge
Volume 27, Number 6 (November-December 2012)
Theory of Conditional Games
Wynn C. Sterling
=======================================
MT and Computational Linguistics =========
Machine Translation: Its Scope and Limits
Yorick Wilks
Springer, 2009, ISBN 978-0-387-72774-5
http://dx.doi.org/10.1007/978-0-387-72774-5
Professor Yorick Wilks, Oxford University – Publications &
Webcasts
http://www.oii.ox.ac.uk/people/?id=31
Wikipedia:
http://en.wikipedia.org/wiki/Yorick_Wilks
Statistical Machine Translation
Adam Lopez
ACM Computing Surveys, Volume 40, Number 3 (August 2008)
http://dx.doi.org/10.1145/1380584.1380586
Adam Lopez Home Page
http://www.cs.jhu.edu/~alopez/
Statistical Machine Translation Enhancements through
Linguistic Levels: A Survey
Marta R. Costa-Jussa and Mireia Farrus
ACM Computing Surveys,
Volume 46, Number 3 (January 2014)
http://dx.doi.org/10.1145/2518130
Statistical Machine Translation
Philipp Koehn
Learning to Translate: A Statistical and Computational
Analysis
Marco Turchi, Tijl De Bie, Cyril Goutte, and Nello Cristianini
Advances in Artificial Intelligence, Volume 2012 (2012),
Article ID 484580, 15 pages
http://dx.doi.org/10.1155/2012/484580
Foundations of Computational Linguistics:
Human-Computer Communication in Natural Language,
Third Edition
Roland Hausser
Springer, 2014, ISBN 978-3-642-41431-2
http://dx.doi.org/10.1007/978-3-642-41431-2
Computational Linguistics: Models, Resources, Applications
Igor A. Bolshakov and Alexander Gelbukh
2004, ISBN 970-36-0147-2
http://web.archive.org/web/20080129150504/http://www.gel
bukh.com/
Website of Dr. Alexander Gelbukh
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Language Processing with Perl and Prolog:
Theories, Implementation, and Application; Second Edition
Pierre M. Nugues
Springer, 2014, ISBN 978-3-642-41464-0
http://dx.doi.org/10.1007/978-3-642-41464-0
Graph-Based Natural Language Processing and Information
Retrieval
Rada Mihalcea and Dragomir Radev
Natural Language Understanding, Where Are We Going?
Where Could We Go?
Gerard Sabah
The Computer Journal,
Volume 54, Number 9 (September 2011)
http://dx.doi.org/10.1093/comjnl/bxq060
Natural Language Generation in Interactive Systems
Amanda Stent and Srinivas Bangalore (Editors)
Understanding Natural Language
Terry Winograd
Cognitive Psychology,
Volume 3, Number 1 (January 1972) Pages 1-191
http://dx.doi.org/10.1016/0010-0285(72)90002-3
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Machine Translation Archive
http://www.mt-archive.info/
Website
http://www.hutchinsweb.me.uk/
Statistical Machine Translation website
http://www.statmt.org/
=======================================
Neural Networks =======================
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Artificial Neural Networks
Eyal Reingold
http://psych.utoronto.ca/users/reingold/courses/ai/nn.html
A Brief Introduction to Neural Networks
David Kriesel
http://www.dkriesel.com/en/science/neural_networks
Neural Networks: A Comprehensive Foundation,
Second Edition
Simon Haykin
Prentice Hall, 1999
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Companion Software @ Matlab Central
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-neural-networks--a-comprehensive-foundation--2e-bookcompanion-software
Fundamentals of the New Artificial Intelligence:
Neural, Evolutionary, Fuzzy and More; Second Edition
Toshinori Munakata
Springer, 2008, ISBN 978-1-84628-839-5
http://dx.doi.org/10.1007/978-1-84628-839-5
Neural Networks: A Systematic Introduction
Raul Rojas
Springer, 1996, ISBN 978-3-642-61068-4
http://dx.doi.org/10.1007/978-3-642-61068-4
The Organization of Behavior: A Neuropsychological Theory
D. O. Hebb
Wiley, 1949
http://s-f-walker.org.uk/ebooks-index.html
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The brain chip
Robert F. Service
Science, Volume 345, Number 6197 (8 August 2014)
*** This feature has a link to the full report by
Dharmendra S. Modha et al. ****************
http://dx.doi.org/10.1126/science.345.6197.614
Exploring Neural Networks with C#
Ryszard Tadeusiewicz, Rituparna Chaki, and Nabendu Chaki
CRC Press, 2015, ISBN 978-1-4822-3340-7
Handbook of Neuroevolution Through Erlang
Gene I. Sher
Springer, 2013, ISBN978-1-4614-4463-3
http://dx.doi.org/10.1007/978-1-4614-4463-3
Delving into Deep Learning
Brian Hayes
American Scientist, Volume 102, Number 3 (May-June 2014)
http://dx.doi.org/10.1511/2014.108.186
Deep Learning Comes of Age
Gary Anthes
Communications of the ACM,
http://dx.doi.org/10.1145/2461256.2461262
From Neural Networks to Deep Learning:
Zeroing in on the Human Brain
Jonathan Laserson
XRDS: Crossroads, Volume 18, Number 1 (Fall 2011)
http://dx.doi.org/10.1145/2000775.2000787
Deep learning in neural networks: An overview
Jurgen Schmidhuber
Neural Networks, Volume 61 (January 2015)
http://dx.doi.org/10.1016/j.neunet.2014.09.003
Neural Network Models: An Analysis
Philippe De Wilde
Springer, 1996, ISBN 978-3-540-70819-3
http://dx.doi.org/10.1007/BFb0034478
Neural Networks: Tricks of the Trade, Second Edition
Gregoire Montavon, Genevieve B. Orr, and Klaus-Robert
Muller (Editors)
http://dx.doi.org/10.1007/978-3-642-35289-8
Neural Networks: Methodology and Applications
Gerard Dreyfus
Springer, 2005, ISBN 978-3-540-28847-3
http://dx.doi.org/10.1007/3-540-28847-3
Neural Networks Theory
Alexander I. Galushkin
Springer, 2007, ISBN 978-3-540-48125-6
http://dx.doi.org/10.1007/978-3-540-48125-6
Neural Networks and Statistical Learning
Ke-Lin Du and M. N. S. Swamy
Springer, 2014, ISBN 978-1-4471-5571-3
http://dx.doi.org/10.1007/978-1-4471-5571-3
Neural Networks in a Softcomputing Framework
K.-L. Du and M.N.S. Swamy
Springer, 2006, ISBN 978-1-84628-303-1
http://dx.doi.org/10.1007/1-84628-303-5
Artificial Neural Networks (2004)
B. Yegnanarayana
**** Introduction and the first four chapters ******
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XH5OT7PwCInh0QHM5vzCAg&ved=0CDgQ6AEwATg8#v=onepa
ge&q=intitle%3Aneural%20intitle%3Anetworks&f=false
Neural Networks and Analog Computation:
Beyond the Turing Limit
Hava T. Siegelmann
Springer, 1999, ISBN 978-1-4612-0707-8
http://dx.doi.org/10.1007/978-1-4612-0707-8
Turing’s Connectionism:
An Investigation of Neural Network Architecture
Christof Teuscher
Springer, 2002, ISBN 978-1-4471-0161-1
http://dx.doi.org/10.1007/978-1-4471-0161-1
The Compucology Project
http://compucology.net/
Neural Network FAQs
ftp://ftp.sas.com/pub/neural/FAQ.html
Neural Networks at your Fingertips
Karsten Kutza, 1996
http://www.neural-networks-at-your-fingertips.com/
Minds and Machines: Connectionism and Psychological
Modeling
Michael R. W. Dawson
Wiley, 2004, ISBN 9780470752999
http://dx.doi.org/10.1002/9780470752999
Connectionism: A Hands-On Approach
Michael R. W. Dawson
Wiley, 2005, ISBN 9780470694077
http://dx.doi.org/10.1002/9780470694077
Evolving Connectionist Systems:
The Knowledge Engineering Approach
Nikola Kasabov
Springer, 2007, ISBN 978-1-84628-347-5
http://dx.doi.org/10.1007/978-1-84628-347-5
Connectionism
http://plato.stanford.edu/entries/connectionism/
The Computational Theory of Mind
http://plato.stanford.edu/entries/computational-mind/
Search for “neural network”
http://plato.stanford.edu/search/searcher.py?query=neural+n
etwork
Stanford Encyclopedia of Philosophy
http://plato.stanford.edu/
Prediction using neural networks
Marek Obitko
http://www.obitko.com/tutorials/neural-network-prediction/
Chapter 2 Computation in Neural Nets
http://dx.doi.org/10.1007/0-387-21722-3_2
Understanding Understanding:
Essays on Cybernetics and Cognition
Heinz von Foerster
Springer, 2003, ISBN 978-0-387-21722-2
Random Neural Networks (Special Issue)
The Computer Journal, Volume 53, Number 3 (March 2010)
http://comjnl.oxfordjournals.org/content/53/3.toc
Neural Networks (Special Issue)
Proceedings of the IEEE,
http://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=2115&p
unumber=5
Neural Networks and Micromechanics
Ernst Kussul, Tatiana Baidyk, and Donald C. Wunsch
Springer, 2010, ISBN 978-3-642-02535-8
http://dx.doi.org/10.1007/978-3-642-02535-8
Chapter 1 FPGA Neurocomputers
Amos R. Omondi, Jagath C. Rajapakse, and Mariusz Bajger
http://dx.doi.org/10.1007/0-387-28487-7_1
FPGA Implementations of Neural Networks
Amos R. Omondi and Jagath C. Rajapakse (Editors)
Springer, 2006, ISBN 978-0-387-28485-9
http://dx.doi.org/10.1007/0-387-28487-7
Neural Networks Expand SP’s Horizons
Simon Haykin
IEEE Signal Processing Magazine,
Volume 13, Number 2 (March 1996)
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Role of neural network models for developing speech systems
R. Sreenivasa Rao
Sadhana, Volume 36, Number 5 (October 2011)
http://dx.doi.org/10.1007/s12046-011-0047-z
Chapter 2 Speech Processing Technology: Basic Consideration
http://dx.doi.org/10.1007/978-81-322-1862-3_2
Chapter 3 Fundamental Considerations of ANN
http://dx.doi.org/10.1007/978-81-322-1862-3_3
Phoneme-Based Speech Segmentation Using Hybrid Soft
Computing Framework
Mousmita Sarma and Kandarpa Kumar Sarma
Springer, 2014, ISBN 978-81-322-1862-3
http://dx.doi.org/10.1007/978-81-322-1862-3
Artificial immune systems for the detection of credit card
fraud: an architecture, prototype and preliminary results
Nicholas Wong, Pradeep Ray, Greg Stephens & Lundy Lewis
Information Systems Journal,
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Applying Artificial Neural Networks for Face Recognition
Thai Hoang Le
Advances in Artificial Neural Systems,
Volume 2011 (2011) Article ID 673016
http://dx.doi.org/10.1155/2011/673016
Innovations in Neural Information Paradigms and Applications
Monica Bianchini, Marco Maggini, Franco Scarselli,
and Lakhmi C. Jain (Editors)
Springer, 2009, ISBN 978-3-642-04003-0
http://dx.doi.org/10.1007/978-3-642-04003-0
Wavelet Neural Networks:
With Applications in Financial Engineering, Chaos,
and Classification
Antonios K. Alexandridis and Achilleas D. Zapranis
Wiley, 2014, ISBN 9781118596272
http://dx.doi.org/10.1002/9781118596272
Conceptors: an easy introduction
Herbert Jaeger (June 2014)
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Controlling Recurrent Neural Networks by Conceptors
Herbert Jaeger (March 2014)
A Sociological History of the Neural Network Controversy
Mikel Olazaran
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Modeling Human Learning: Artificial Neural Networks
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http://dx.doi.org/10.1007/978-3-642-16205-3_2
Fusion Methods for Unsupervised Learning Ensembles
Bruno Baruque and Emilio Corchado
Springer, 2010, ISBN 978-3-642-16205-3
http://dx.doi.org/10.1007/978-3-642-16205-3
An introduction to Neural Computing
Teuvo Kohonen
Neural Networks, Volume 1, Number 1 (1988)
http://dx.doi.org/10.1016/0893-6080(88)90020-2
=======================================
Self-Organizing Maps ====================
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The Self-Organizing Map
Teuvo Kohonen
Proceedings of the IEEE,
http://dx.doi.org/10.1109/5.58325
The self-organizing map
Teuvo Kohonen
Neurocomputing, Volume 21,Numbers 1-3 (November 1998)
http://dx.doi.org/10.1016/S0925-2312(98)00030-7
Self-Organizing Maps, Third Edition
Teuvo Kohonen
Springer, 2001, ISBN 978-3-642-56927-2
http://dx.doi.org/10.1007/978-3-642-56927-2
Essentials of the self-organizing map
Teuvo Kohonen
Neural Networks, Volume 37(January 2013)
Neural Computation and Self-Organizing Maps:
An Introduction
Helge Ritter, Thomas Martinetz, and Klaus Schulten
Addison-Wesley, 1992
http://www.ks.uiuc.edu/Publications/Papers/paper.cgi?tbcode
=RITT92
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Advances in Self-Organizing Maps
Nigel Allinson, Hujun Yin, Lesley Allinson, and John Slack
(Editors)
Springer, 2001, ISBN 978-1-4471-0715-6
http://dx.doi.org/10.1007/978-1-4471-0715-6
Advances in Self-Organizing Maps: WSOM 2011
Jorma Laaksonen and Timo Honkela (Editors)
Springer, 2011, ISBN 978-3-642-21566-7
http://dx.doi.org/10.1007/978-3-642-21566-7
Advances in Self-Organizing Maps: WSOM 2012
Pablo A. Estevez, Jose C. Principe, and Pablo Zegers (Editors)
Springer, 2013, ISBN 978-3-362-35230-0
http://dx.doi.org/10.1007/978-3-642-35230-0
Advances in Self-Organizing Maps and Learning Vector
Quantization: WSOM 2014
Thomas Villmann, Frank-Michael Schleif, Marika Kaden,
and Mandy Lange (Editors)
Springer, 2014, ISBN 978-3-319-07695-9
http://dx.doi.org/10.1007/978-3-319-07695-9
Associative Memory: A System-Theoretical Approach
Teuvo Kohonen
Springer, 1977, ISBN 978-3-642-96384-1
http://dx.doi.org/10.1007/978-3-642-96384-1
Computational Maps in the Visual Cortex
Risto Miikkulainen, James A. Bednar, Yoonsuck Choe,
and Joseph Sirosh
Springer, 2005, ISBN 978-0-387-28806-2
http://dx.doi.org/10.1007/0-387-28806-6
Kohonen neural networks and genetic classification
Daniela Bianchi, Raffaele Calogero, and Brunela Tirozzi
Mathematical and Computer Modeling,
Volume 45, Numbers 1-2 (January 2007)
http://dx.doi.org/10.1016/j.mcm.2006.04.004
MATLAB Implementations and Applications of the
Self-Organizing Map
Teuvo Kohonen
Unigrafia, 2014, ISBN 978-952-60-3679-3
http://docs.unigrafia.fi/publications/kohonen_teuvo/
Self-organisation in Kohonen’s SOM
John A. Flanagan
Neural Networks, Volume 9, Number 7 (October 1996)
http://dx.doi.org/10.1016/0893-6080(96)00038-X
Self-Organization and Associative Memory, Third Edition
Teuvo Kohonen
Springer, 1989, ISBN 978-3-642-88163-3
http://dx.doi.org/10.1007/978-3-642-88163-3
Self-Organizing Maps with Time-Varying Structure
Aluizio F. R. Araujo and Renata L. M. E. Rego
Volume 46, Number 1 (October 2013)
http://dx.doi.org/10.1145/2522968.2522975
Self-Organizing Internet Semantic Network
Sergey Shumsky
http://dx.doi.org/10.1007/978-1-4471-0715-6_9
SOM’s mathematics
J.C. Fort
Advances in Self-Organizing Maps – WSOM’05 (Special Issue)
Neural Networks, Volume 19, Numbers 6-7 (July-August 2006)
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Theoretical aspects of the SOM algorithm
M. Cottrell, J.C. Fort, and G. Pages
Neurocomputing, Volume 21 (1998)
http://dx.doi.org/10.1016/S0925-2312(98)00034-4
Topology-oriented self-organizing maps: a survey
Cesar A. Astudillo and B. John Oommen
Pattern Analysis and Applications,
Volume 17, Number 2 (May 2014)
http://dx.doi.org/10.1007/s10044-014-0367-9
Visual Explorations in Finance: with Self-Organizing Maps
Guido Deboeck and Teuvo Kohonen (Editors)
Springer, 1998, ISBN 978-1-4471-3913-3
http://dx.doi.org/10.1007/978-1-4471-3913-3
=======================================
Vagueness ============================
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Vagueness
Bertrand Russell
Australasian Journal of Psychology and Philosophy,
Volume 1, Number 2 (1923)
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ueness/
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Just What is Vagueness?
Otavio Bueno and Mark Colyvan
Ratio, Volume 25, Number 1 (March 2012)
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Vagueness
Stanford Encyclopedia of Philosophy
http://plato.stanford.edu/entries/vagueness/
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Concepts without boundaries
Mark Sainsbury
Inaugural lecture delivered at King’s College, London (1990)
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Does Vagueness Exclude Knowledge?
David Barnett
Philosophy and Phenomenological Research,
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Logic for Equivocators
David Lewis
Noûs, Volume 16, Number 3 (September 1982)
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Ontic Vagueness: A Guide for the Perplexed
Elizabeth Barnes
Noûs, Volume 44, Number 4 (December 2010)
http://dx.doi.org/10.1111/j.1468-0068.2010.00762.x
Ontic Vagueness and Metaphysical Indeterminacy
J. Robert Williams
Philosophy Compass, Volume 3, Number 4 (July 2008)
http://dx.doi.org/10.1111/j.1747-9991.2008.00151.x
Spindel Supplement: Vagueness (special issue)
Terry Horgan (Editor)
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Volume 33, Number S1 (Supplement, Spring 1995)
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Vagueness: An Exercise in Logical Analysis
Max Black
International Journal of General Systems,
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Vagueness, Logic and Use: Four Experimental Studies on
Vagueness
Phil Serchuk, Ian Hargraves, and Richard Zach
Mind & Language, Volume 26, Number 5 (November 2011)
http://dx.doi.org/10.1111/j.1468-0017.2011.01430.x
Vagueness: Supervaluationism
Rosanna Keefe
Philosophy Compass, Volume 3, Number 2 (March 2008)
http://dx.doi.org/10.1111/j.1747-9991.2008.00124.x
Varieties of Vagueness
Trenton Merricks
Philosophy and Phenomenological Research,
http://dx.doi.org/10.1111/j.1933-1592.2001.tb00045.x
=======================================
Fuzzy Sets and Fuzzy Logic ================
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Fuzzy Sets
L. A. Zadeh
Information and Control, Volume 8, Number 3 (June 1965)
*** Number 67 on the Publications List ****
http://www.cs.berkeley.edu/~zadeh/papers/
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Fuzzy Algorithms
L. A. Zadeh
Information and Control,
Volume 12, Number 2 (February 1968)
http://dx.doi.org/10.1016/S0019-9958(68)90211-8
The Birth and Evolution of Fuzzy Logic
Lofti A. Zadeh
http://dx.doi.org/10.1080/03081079008935102
Fuzzy Sets and Systems
Lofti A. Zadeh
http://dx.doi.org/10.1080/03081079008935104
A Quarter Century of Fuzzy Systems (special issue)
http://www.tandfonline.com/toc/ggen20/17/2-3
Fuzzy Logic
Bart Kosko and Satoru Isaka
Scientific American, Volume 269 (July 1993) Pages 76-81
http://dx.doi.org/10.1038/scientificamerican0793-76
Paradoxical Success of Fuzzy Logic
Charles Elkan
(followed by 15 responses from Lofti A. Zade et al.)
IEEE Expert, Volume 9, Number 4 (August 1994)
http://dx.doi.org/10.1109/64.336150
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Foundations of a set theory for fuzzy sets. 40 years of
development
Siegfried Gottwald
Soft Computing Systems (special issue)
http://dx.doi.org/10.1080/03081070701499922
Chapter 5 Fuzzy Systems
http://dx.doi.org/10.1007/978-1-84628-839-5_5
Toshinori Munakata
Springer, 2008, ISBN 978-1-84628-839-5
http://dx.doi.org/10.1007/978-1-84628-839-5
An Introduction to Many-Valued and Fuzzy Logic:
Semantics, Algebras, and Derivation Systems
Merrie Bergmann
Mathematics of Fuzziness - Basic Issues
Xuzhu Wang, Da Ruan and Etienne E. Kerre
Springer, 2009, ISBN 978-3-540-78311-4
http://dx.doi.org/10.1007/978-3-540-78311-4
Classical Sets and Non-Classical Sets: An Overview
Sumita Basu
Resonance, Volume 10, Number 8 (August 2005)
http://dx.doi.org/10.1007/BF02866745
Uncertainty in the Real World – Part1: Fuzzy Sets
Satish Kumar
Resonance, Volume 4, Number 2(1999)
http://dx.doi.org/10.1007/BF02838762
Managing Uncertainty in the Real World – 2. Fuzzy Systems
Satish Kumar
Resonance, Volume 4, Number 4 (1999)
http://dx.doi.org/10.1007/BF02838340
Mathematics of Fuzzy Sets and Fuzzy Logic
Barnabas Bede
Springer, 2013, ISBN 978-3-642-35221-8
http://dx.doi.org/10.1007/978-3-642-35221-8
Fuzzy Mathematics:
An Introduction for Engineers and Scientists, Second Edition
John N. Mordeson and Premchand S. Nair
Springer, 2001, ISBN 978-3-7908-1808-6
http://dx.doi.org/10.1007/978-3-7908-1808-6
Fuzzy Logic: A Spectrum of Theoretical & Practical Issues
Paul P. Wang, Da Ruan, and Etienne E. Kerre (Editors)
Springer, 2007, ISBN 978-3-540-71258-9
http://dx.doi.org/10.1007/978-3-540-71258-9
On Fuzziness: A Homage to Lofti A. Zadeh – Volume 1
Rudolf Seising, Enric Trillas, Claudio Moraga, and Settimo
Termini (Editors)
Springer, 2013, ISBN 978-3-642-35641-4
http://dx.doi.org/10.1007/978-3-642-35641-4
On Fuzziness: A Homage to Lofti A. Zadeh – Volume 2
Rudolf Seising, Enric Trillas, Claudio Moraga, and Settimo
Termini (Editors)
Springer, 2013, ISBN 978-3-642-35644-5
http://dx.doi.org/10.1007/978-3-642-35644-5
Forging New Frontiers: Fuzzy Pioneers I
Masoud Nikravesh, Janusz Kacprzyk, and Lofti A. Zadeh
(Editors)
Springer, 2007, ISBN 978-3-540-73182-5
http://dx.doi.org/10.1007/978-3-540-73182-5
Forging New Frontiers: Fuzzy Pioneers II
Masoud Nikravesh, Janusz Kacprzyk, and Lofti A. Zadeh
(Editors)
Springer, 2008, ISBN 978-3-540-73185-6
http://dx.doi.org/10.1007/978-3-540-73185-6
Fuzzy Methods on the Web: A Critical Discussion
Steven Schockaert, Nataliya Makarytska, and Martine de Cock
http://dx.doi.org/10.1007/978-3-642-16629-7_12
35 Years of Fuzzy Set Theory
Celebratory Volume Dedicated to the Retirement of Etienne E.
Kerre
Chris Cornelis, Glad Deschrijver, Mike Nachtegael,
Steven Schockaert,
and Yun Shi (Editors)
Springer, 2011, ISBN 978-3-642-16629-7
http://dx.doi.org/10.1007/978-3-642-16629-7
On the Power of Fuzzy Markup Language
Giovanni Acampora, Vincenzo Loia, Chang-Shing Lee,
and Mei-Hui Wang (Editors)
Springer, 2013, ISBN 978-3-642-35488-5
http://dx.doi.org/10.1007/978-3-642-35488-5
Fuzzy XML Data Management
Li Yan, Zongmin Ma, and Fu Zhang
Springer, 2014, ISBN 978-3-642-44899-7
http://dx.doi.org/10.1007/978-3-642-44899-7
Foundations of Fuzzy Control: A Practical Approach,
Second Edition
Jan Jantzen
Wiley, 2013, ISBN 9781118535608
http://dx.doi.org/10.1002/9781118535608
Theory of Fuzzy Computation
Apostolos Syropoulos
Springer, 2014, ISBN 978-1-4614-8379-3
http://dx.doi.org/10.1007/978-1-4614-8379-3
Soft Computing and Its Applications – Volume I:
A Unified Engineering Concept
Kumar S. Ray
CRC Press, 2015, ISBN 978-1-4665-7818-0
Soft Computing and Its Applications – Volume II:
Fuzzy Reasoning and Fuzzy Control
Kumar S. Ray
CRC Press, 2014, ISBN 978-1-4822-5793-9
http://www.crcnetbase.com/isbn/978-1-77188-046-6
Soft Computing and Intelligent Systems:
Naresh K. Sinha and Madan M. Gupta (Editors)
Elsevier, 2000, ISBN 978-0-12-646490-0
Towards the Future of Fuzzy Logic
Rudolf Seising, Enric Trillas, and Janusz Kacprzyk (Editors)
Springer, 2015, ISBN 978-3-319-18750-1
http://dx.doi.org/10.1007/978-3-319-18750-1
=======================================
Lofti A. Zadeh – Then and Now ============
Profile: LOFTI A. ZADEH
Tekla S. Perry
IEEE Spectrum, Volume 32, Number 6 (June 1995)
http://dx.doi.org/10.1109/6.387136
Home Page of Lofti A. Zadeh
The Berkeley Initiative in Soft Computing
http://www.cs.berkeley.edu/~zadeh/
Computing with Words: Principal Concepts and Ideas
Lofti A. Zadeh
Springer, 2012, ISBN 978-3-642-27473-2
http://dx.doi.org/10.1007/978-3-642-27473-2
Precisiated Natural Language (PNL)
Lofti A. Zadeh
A New Direction in AI: Toward a Computational Theory of
Perceptions
Lofti A. Zadeh
AI Magazine, Volume 22, Number 1 (Spring 2001)
A Simple View of the Dempster-Shafer Theory of Evidence and
its Implication for the Rule of Combination
Lofti A. Zadeh
AI Magazine, Volume 7, Number 2 (Summer 1986)
=======================================
Rough Sets ============================
Rough Sets
Zdzislaw Pawlak
International Journal of Computer and Information
Sciences, Volume 11, Number 5 (October 1982)
http://dx.doi.org/10.1007/BF01001956
Rough Sets:
Theoretical Aspects of Reasoning about Data
Zdzislaw Pawlak
Springer, 1991, ISBN 978-94-011-3534-4
http://dx.doi.org/10.1007/978-94-011-3534-4
Vagueness and Uncertainty: A Rough Set Perspective
Zdzislaw Pawlak
Rough Sets and Knowledge Discovery (special issue)
Wojciech Ziarko (Editor)
Computational Intelligence, Volume 11, Number 2 (May 1995)
http://onlinelibrary.wiley.com/doi/10.1111/coin.1995.11.issue2/issuetoc
Rough Sets
Zdzislaw Pawlak, Jerzy Grzymala-Busse, Roman
Slowinski, and Wojciech Ziarko
http://dx.doi.org/10.1145/219717.219791
Rough Set Theory and Its Application to Data Analysis
Zdzislaw Pawlak
Cybernetics and Systems: An International Journal,
http://dx.doi.org/10.1080/019697298125470
Drawing Conclusions from Data – The Rough Set Way
Zdzislaw Pawlak
http://dx.doi.org/10.1002/1098-111X(200101)16:1%3C3::AIDINT2%3E3.0.CO;2-I
Roughian: Rough Information Analysis
Ivo Duntsch and Gunther Gediga
http://dx.doi.org/10.1002/1098-111X(200101)16:1%3C121::AIDINT9%3E3.0.CO;2-Z
A Rough Set Approach to Reasoning About Data (special issue)
James F. Peters and Anrzej Skowron (Editors)
International Journal of Intelligent Systems,
http://onlinelibrary.wiley.com/doi/10.1002/1098111X(200101)16:1%3C%3E1.0.CO;2-B/issuetoc
Combining Rough Sets and Bayes’ Rule
Zdzislaw Pawlak
Computational Intelligence, Volume 17, Number 3 (August 2001)
http://dx.doi.org/10.1111/0824-7935.00153
A Rough Set View on Bayes’ Theorem
Zdzislaw Pawlak
Volume 18, Number 5 (May 2003)
http://dx.doi.org/10.1002/int.10099
A Treatise on Rough Sets
Zdzislaw Pawlak
http://dx.doi.org/10.1007/11574798_1
Transactions on Rough Sets IV
James F. Peters and Andrzej Skowron (Editors)
http://dx.doi.org/10.1007/11574798
Rough Set Theory
Zdzislaw Pawlak, Lech Polkowski, and Andrzej Skowron
http://dx.doi.org/10.1002/9780470050118.ecse466
Wiley Encyclopedia of Computer Science and Engineering
Benjamin W. Wah (Editor)
Wiley, 1999-present, ISBN 9780470050118
http://dx.doi.org/10.1002/9780470050118
Chapter 6 Rough Sets
http://dx.doi.org/10.1007/978-1-84628-839-5_6
Toshinori Munakata
Springer, 2008, ISBN 978-1-84628-839-5
http://dx.doi.org/10.1007/978-1-84628-839-5
Rough Sets: Mathematical Foundations
Lech Polkowski
Springer, 2002, ISBN 978-3-7908-1776-8
http://dx.doi.org/10.1007/978-3-7908-1776-8
Rough Sets and Data Mining: Analysis of Imprecise Data
T. Y. Lin and N. Cercone
Springer, 1997, ISBN 978-1-4613-1461-5
http://dx.doi.org/10.1007/978-1-4613-1461-5
Incomplete Information: Rough Set Analysis
Ewa Orlowska (Editor)
Springer, 1998, ISBN 978-3-7908-1888-8
http://dx.doi.org/10.1007/978-3-7908-1888-8
Incomplete Information System and Rough Set Theory:
Models and Attribute Reductions
Xibei Yang and Jingyu Yang
Springer, 2012, ISBN 978-3-642-25935-7
http://dx.doi.org/10.1007/978-3-642-25935-7
Rough Set Theory: A True Landmark in Data Analysis
Ajith Abraham, Rafael Falcon, and Rafael Bello (Editors)
Springer, 2009, ISBN 978-3-540-89921-1
http://dx.doi.org/10.1007/978-3-540-89921-1
Rough Set Theory and Granular Computing
Masahiro Inuiguchi, Shoji Hirano, and Shusaku Tsumoto (Editors)
Springer, 2003, ISBN 978-3-540-36473-3
http://dx.doi.org/10.1007/978-3-540-36473-3
Transactions on Rough Sets VI:
Commemorating the Life and Work of Zdzislaw Pawlak, Part I
James F. Peters, Andrzej Skowron, Ivo Duntsch,
Jerzy Grzymala-Busse, Ewa Orlowska, and Lech Polkowski (Editors)
http://dx.doi.org/10.1007/978-3-540-71200-8
Transactions on Rough Sets VII:
Commemorating the Life and Work of Zdzislaw Pawlak, Part II
James F. Peters, Andrzej Skowron, Victor W. Marek,
Ewa Orlowska, Roman Slowinski, and Wojciech Ziarko (Editors)
http://dx.doi.org/10.1007/978-3-540-71663-1
Rough Set Approach to Data Mining (special issue)
James F. Peters, Chien-Chung Chan, Jerzy W. Grzymala-Busse,
and Wojciech P. Ziarko (Editors)
http://onlinelibrary.wiley.com/doi/10.1002/int.v26.6/issuetoc
Rough Sets and Intelligent Systems – Professor Zdzislaw
Pawlak in Memoriam, Volume 1
Andrzej Skowron and Zbiniew Suraj (Editors)
Springer, 2013, ISBN 978-3-642-30344-9
http://dx.doi.org/10.1007/978-3-642-30344-9
Rough Sets and Intelligent Systems – Professor Zdzislaw
Pawlak in Memoriam, Volume 2
Andrzej Skowron and Zbiniew Suraj (Editors)
Springer, 2013, ISBN 978-3-642-30341-8
http://dx.doi.org/10.1007/978-3-642-30341-8
Soft Computing and Its Applications – Volume I:
A Unified Engineering Concept
Kumar S. Ray
CRC Press, 2015, ISBN 978-1-4665-7818-0
=======================================
Uncertainty in AI =======================
Controlling Uncertainty:
Decision Making and Learning in Complex Worlds
Magda Osman
Wiley, 2010, ISBN 97814443282126
http://dx.doi.org/10.1002/9781444328226
Decision Making Under Uncertainty
Judea Pearl
ACM Computing Surveys, Volume 28, Number 1 (March 1996)
http://dx.doi.org/10.1145/234313.234354
Judgment under uncertainty: Heuristics and biases
Daniel Kahneman, Paul Slovic, and Amos Tversky (Editors)
Uncertainty Theory, Fourth Edition
Baoding Liu
Springer, 2015, ISBN 978-3-662-44354-5
http://dx.doi.org/10.1007/978-3-662-44354-5
Uncertainty Without All the Doubt
Aaron Norby
Mind & Language, Volume 30, Number 1 (February 2015)
http://dx.doi.org/10.1111/mila.12072
=======================================
Preferences and Decision-Making in AI =====
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Preference Handling – An Introductory Tutorial
Ronen I. Brafman and Carmel Domshlak
AI Magazine, Volume 30, Number 1 (2009)
http://www.aaai.org/ojs/index.php/aimagazine/article/view/2
114
Working with Preferences: Less Is More
Souhila Kaci
Springer, 2011, ISBN 978-3-642-17280-9
http://dx.doi.org/10.1007/978-3-642-17280-9
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Artificial Intelligence Techniques for Rational Decision Making
Tshilidzi Marwala
Springer, 2014, ISBN 978-3-319-11424-8
http://dx.doi.org/10.1007/978-3-319-11424-8
The Construction of Preferences
Sarah Lichtenstein and Paul Slovic (Editors)
Intuitionistic Preference Modeling and Interactive Decision
Making
Zeshui Xu
Springer, 2014, ISBN 978-3-642-28403-8
http://dx.doi.org/10.1007/978-3-642-28403-8
Intuitive and Deliberate Judgments Are Based on Common
Principles
Arie W. Kruglanski and Gerd Gigerenzer
Psychological Review, Volume 118, Number 1 (January 2011)
http://dx.doi.org/10.1037/a0020762
Preference Change:
Approaches from Philosophy, Economics and Psychology
Till Grune-Yanoff and Sven Ove Hansson (Editors)
Springer, 2009, ISBN 978-90-481-2593-7
http://dx.doi.org/10.1007/978-90-481-2593-7
Preference Handling for Artificial Intelligence (special issue)
AI Magazine, Volume 29, Number 4 (Winter 2008)
http://www.aaai.org/ojs/index.php/aimagazine/issue/view/18
4/showToc
Preference Learning
Johannes Furnkranz and Eyke Hullermeier (Editors)
Springer, 2010, ISBN 978-3-642-14125-6
http://dx.doi.org/10.1007/978-3-642-14125-6
Preference Modelling
Marc Roubens and Philippe Vincke
Springer, 1985, ISBN 978-3-642-46550-5
http://dx.doi.org/10.1007/978-3-642-46550-5
Preferences and Similarities
Giacomo Della Riccia, Didier Dubois, Rudolf Kruse,
and Hans-Joachim Lenz (Editors)
Springer, 2008, ISBN 978-3-211-85432-7
http://dx.doi.org/10.1007/978-3-211-85432-7
Probabilistic Composition of Preferences, Theory and
Applications
Annibal Parracho Sant’Anna
Springer, 2015, ISBN 978-3-319-11277-0
http://dx.doi.org/10.1007/978-3-319-11277-0
Probability and the art of judgment
Richard Jeffrey
The Psychology of Risk, Second Edition
Glynis M. Blackwell
Cambridge University Press, 2014, 9781139061933
Rationality for Economists?
Daniel McFadden
Journal of Risk and Uncertainty,
Volume 19, Numbers 1-3 (December 1999)
http://dx.doi.org/10.1023/A:1007863007855
Reasoning: Studies of Human Inference and Its Foundations
Jonathan E. Adler and Lance J. Rips (Editors)
Reasoning about Preference Dynamics
Fenrong Liu
Springer, 2011, ISBN 978-94-007-1344-4
http://dx.doi.org/10.1007/978-94-007-1344-4
Reference-Dependent Preferences:
A Theoretical and Experimental Investigation of Individual
Reference-Point Formation
Evelyn Stommel
Springer, 2013, ISBN 978-3-658-00635-8
http://dx.doi.org/10.1007/978-3-658-00635-8
=======================================
Statistics and AI: Bayesian Networks =======
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
How machines learned to think statistically
Brian Tarran
Significance, Volume 12, Number 1 (February 2015)
http://dx.doi.org/10.1111/j.1740-9713.2015.00796.x
Bayesian Networks without Tears
Eugene Charniak
AI Magazine, Volume 12, Number 4 (Winter 1991)
Judea Pearl – Cognitive Systems Laboratory, UCLA
http://bayes.cs.ucla.edu/
Judea Pearl – ACM A.M. Turing Award Winner
http://amturing.acm.org/award_winners/pearl_2658896.cfm
Bayesian Networks: A Model of Self-Activated Memory for
Evidential Reasoning
Judea Pearl
Report No. CSD-850017 (April 1985)
http://ftp.cs.ucla.edu/tech-report/198_-reports/850017.pdf
Fusion, Propagation, and Structuring in Belief Networks
Judea Pearl
Artificial Intelligence, Volume 28, Number 3 (September 1986)
http://dx.doi.org/10.1016/0004-3702(86)90072-X
Belief networks revisited
Judea Pearl
Artificial Intelligence,
Volume 59, Numbers 1-2 (February 1993)
http://dx.doi.org/10.1016/0004-3702(93)90169-C
Resolving disputes between J. Pearl and D. Rubin on causal
Inference
Blog of Andrew Gelman (5 July 2009)
http://andrewgelman.com/2009/07/05/disputes_about/
Neural Information Processing Systems Conference, NIPS 2013
Tutorial: Causes and Counterfactuals
Judea Pearl and Elias Bareinboim
Papers, Slides, Microsoft Research Video, Youtube Video
http://nips.cc/Conferences/2013/Program/event.php?ID=3691
Innovations in Bayesian Networks: Theory and Applications
Dawn E. Holmes and Lakhmi C. Jain (Editors)
Springer, 2008, ISNM 978-3-540-85066-3
http://dx.doi.org/10.1007/978-3-540-85066-3
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Bayesian Networks and Decision Graphs
Finn V. Jensen and Thomas D. Nielsen
Springer, 2007, ISBN 978-0-387-68282-2
http://dx.doi.org/10.1007/978-0-387-68282-2
Bayesian Networks and Influence Diagrams:
A Guide to Construction and Analysis, Second Edition
Uffe B. Kjaerulff and Anders L. Madsen
Springer, 2013, ISBN 978-1-4614-5104-4
http://dx.doi.org/10.1007/978-1-4614-5104-4
Bayesian Networks in R: with Applications in Systems Biology
Radhakrishnan Nagarajan, Marco Scutari, and Sophie Lebre
Springer, 2013, ISBN 978-1-4614-6446-4
http://dx.doi.org/10.1007/978-1-4614-6446-4
Intention Recognition, Commitment and Their Roles in the
Evolution of Cooperation:
From Artificial Intelligence to Evolutionary Game Theory
Models
The Anh Han
Springer, 2013, ISBN 978-3-642-37512-5
http://dx.doi.org/10.1007/978-3-642-37512-5
Introduction to the Theory of Sets of Probabilities
http://sites.poli.usp.br/p/fabio.cozman/Research/CredalSetsTu
torial/
Website of Fabio Cozman
http://sites.poli.usp.br/p/fabio.cozman/
Modeling and Reasoning with Bayesian Networks
Adnan Darwiche
=======================================
Statistics and AI: Maximum Likelihood
Estimation (MLE) =======================
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
How machines learned to think statistically
Brian Tarran
Significance, Volume 12, Number 1 (February 2015)
http://dx.doi.org/10.1111/j.1740-9713.2015.00796.x
A Learning Algorithm for Boltzmann Machines
David H. Ackley, Geoffrey E. Hinton, and Terrence J. Sejnowski
Cognitive Science, Volume 9, Number 1 (January-March 1985)
http://www.cs.toronto.edu/~hinton/absps/cogscibm.pdf
http://dx.doi.org/10.1016/S0364-0213(85)80012-4
Homepage of Geoffrey E. Hinton
http://www.cs.toronto.edu/~hinton/
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The EM Algorithm and Extensions, Second Edition
Geoffrey J. McLachlan and Thriyambakam Krishnan
Wiley, 2008, ISBN 9780470191613
http://dx.doi.org/10.1002/9780470191613
=======================================
Statistics and AI: Statistical Learning Theory =
=======================================
An Elementary Introduction to Statistical Learning Theory
Sanjeev Kulkarni and Gilbert Harman
Wiley, 2011, ISBN 9871118023471
http://dx.doi.org/10.1002/9781118023471
The Elements of Statistical Learning:
Data Mining, Inference, and Prediction, Second Edition
Trevor Hastie, Robert Tibshirani, and Jerome Friedman
Springer, 2009, ISBN 978-0-387-84857-0
http://dx.doi.org/10.1007/978-0-387-84858-7
An Introduction to Statistical Learning: with Applications in R
Gareth James, Daniela Witten, Trevor Hastie, and Robert
Tibshirani
Springer, 2013, ISBN 978-1-4614-7138-7
http://dx.doi.org/10.1007/978-1-4614-7138-7
Neural Networks and Statistical Learning
Ke-Lin Du and M. N. S. Swamy
Springer, 2014, ISBN 978-1-4471-5571-3
http://dx.doi.org/10.1007/978-1-4471-5571-3
Theory of reproducing kernels
N. Aronszajn
Transactions of the American Mathematical Society,
http://www.ams.org/journals/tran/1950-068-03/S0002-99471950-0051437-7/
=======================================
Evolutionary Computation ===============
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
ACM Ubiquity Symposium:
Evolutionary Computation and the Processes of Life
*** Series of articles on a single theme in Ubiquity magazine
***
Opening Statement
Mark Burgin and Eugene Eberbach August 2012
Life Lessons taught by Simulated Evolution
Hans-Paul Schwefel
September 2012
The Essence of Evolutionary Computation
Xin Yao
September 2012
On The Role Of Evolutionary Models In Computing
Max H. Garzon
November 2012
Evolutionary Computation as a Direction in Nature-inspired
Computing
Hongwei Mo
November 2012
The Emperor is Naked:
Evolutionary algorithms for real-world applications
Zbigniew Michalewicz
November 2012
Darwinian Software Engineering:
The Short Term, the Middle Ground, and the Long Haul
Moshe Sipper
December 2012
Evolutionary Computation and Evolutionary Game Theory:
Expecting the Unexpected
David B. Fogel
January 2013
Evolutionary Computation in Physical World
Lukas Sekanina
February 2013
Some Computational Aspects of Essential Properties of
Evolution and Life
Hector Zenil and James A.R. Marshall April 2013
Information, Biological, and Evolutionary Computing
Walter Riofrio
May 2013
Towards Synthesis of Computational Life-Like Processes of
Functional and Evolvable Proto-Systems Via
Extending Evolutionary Computation
Darko Roglic
December 2013
What the No Free Lunch Theorems Really Mean:
How to improve search algorithms
David H. Wolpert
December 2013
Perspectives and Reality of Evolutionary Computation:
Closing Statement
Mark Burgin and Eugene Eberbach December 2013
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Evolutionary Algorithms
Thomas Bartz-Beielstein, Jurgen Branke, Jorn Mehnen,
and Olaf Mersmann
Wiley Interdisciplinary Reviews:
Data Mining and Knowledge Discovery,
Volume 4, Number 3 (May/June 2014)
http://dx.doi.org/10.1002/widm.1124
Computational Intelligence:
Concepts to Implementation
Russell C. Eberhart and Yuhui Shi
Elsevier, 2007, ISBN 978-1-55860-759-0
Applying Computational Intelligence:
How to Create Value
Arthur K. Kordon
Springer, 2010, ISBN 978-3-540-69913-2
http://dx.doi.org/10.1007/978-3-540-69913-2
How to Solve It: Modern Heuristics;
Second, Revised and Extended Edition
Zbigniew Michalewicz and David B. Fogel
Springer, 2004, ISBN 978-3-662-07807-5
http://dx.doi.org/10.1007/978-3-662-07807-5
Creative Evolutionary Systems
Peter J. Bentley and David W. Corne (Editors)
Elsevier, 2002, ISBN 978-1-55860-073-9
Handbook of Natural Computing
Grzegorz Rozenberg, Thomas Back, and Joost N. Kok (Editors)
Springer, 2012, ISBN 978-3-540-92910-9
http://dx.doi.org/10.1007/978-3-540-92910-9
Glossary: Evolutionary Algorithms – Terms and Definitions
Hans-Georg Beyer, Eva Brucherseifer, Wilfried Jakob,
Hartmut Pohlheim, Bernhard Sendhoff, and Thanh Binh To
https://homepages.fhv.at/hgb/ea-glossary/ea-terms-engl.html
The Hitch-Hiker’s Guide to Evolutionary Computation
(FAQ for comp.ai.genetic, April 2001)
Jorg Heitkotter and David Beasley
http://www.aip.de/~ast/EvolCompFAQ/
Emergence, Analysis and Evolution of Structures:
Concepts and Strategies Across Disciplines
Klaus Lucas and Peter Roosen (Editors)
Springer, 2010, ISBN 978-3-642-00870-2
http://dx.doi.org/10.1007/978-3-642-00870-2
Evolutionary computing
A. E. Eiben and M. Schoenauer
Evolutionary Computation (special issue)
Information Processing Letters,
Volume 82, Number 1 (15 April 2002)
http://dx.doi.org/10.1016/S0020-0190(02)00204-1
Introduction to Evolutionary Computing
A.E. Eiben and J.E. Smith
Springer, 2003, ISBN 978-3-662-05094-1
http://dx.doi.org/10.1007/978-3-662-05094-1
The Theory of Evolution Strategies
Hans-Georg Beyer
Springer, 2001, ISBN 978-3-662-04378-3
http://dx.doi.org/10.1007/978-3-662-04378-3
General Tutorial and Survey Level Publications of Darrell
Whitley
http://www.cs.colostate.edu/~whitley/research/publications.p
hp
Home page of Darrell Whitley
http://www.cs.colostate.edu/~whitley/
An alternative explanation for the manner in which genetic
algorithms operate
Hans-Georg Beyer
BioSystems, Volume 41, Number 1 (January 1997)
http://dx.doi.org/10.1016/S0303-2647(96)01657-7
Evolution strategies: A comprehensive introduction
Hans-Georg Beyer and Hans-Paul Schwefel
Natural Computing, Volume 1, Number 1 (2002)
http://dx.doi.org/10.1023/A:1015059928466
Genetic Programming (Chapter 6)
Riccardo Poli and John Koza
http://dx.doi.org/10.1007/978-1-4614-6940-7_6
Search Methodologies: Introductory Tutorials in
Optimization and Decision Support Techniques,
Second Edition
Edmund K. Burke and Graham Kendall Editors)
Springer, 2014, ISBN 978-1-4614-6940-7
http://dx.doi.org/10.1007/978-1-4614-6940-7
Evolutionary Computation and Genetic Programming
Wolfgang Banzhaf
http://dx.doi.org/10.1016/B978-0-12-415995-2.00017-9
Engineered Biomimicry
Akhlesh Lakhtakia and Raul J. Martin-Palma (Editors)
Elsevier, 2013, ISBN 978-0-12-415995-2
Genetic Algorithms (Chapter 5)
http://dx.doi.org/10.1016/B978-0-12-416743-8.00005-1
Nature-Inspired Optimization Algorithms
Xin-She Yang
Elsevier, 2014, ISBN 978-0-12-416743-8
Foundations of Genetic Programming
William B. Langdon and Riccardo Poli
Springer, 2002, ISBN 978-3-662-04726-2
http://dx.doi.org/10.1007/978-3-662-04726-2
Steven Gustafson’s GP Resources
http://www.gustafsonresearch.com/gpresources.html
Home Page of William Langdon
http://www0.cs.ucl.ac.uk/staff/W.Langdon/
Introduction to Genetic Algorithms
S.N. Sivanandam and S.N. Deepa
Springer, 2008, ISBN 978-3-540-73190-0
http://dx.doi.org/10.1007/978-3-540-73190-0
Introduction to Genetic Algorithms
Marek Obitko (1998)
http://www.obitko.com/tutorials/geneticalgorithms/index.php
Genetic Algorithms
John H. Holland
Scientific American, Volume 267, Number 1 (July 1992)
Removing the Genetics from the Standard Genetic Algorithm
Shumet Baluja and Rich Caruana
CMU-CS-95-141 (May 22, 1995)
http://www.ri.cmu.edu/publication_view.html?pub_id=1452
The Design of Innovation:
Lessons from and for Competent Genetic Algorithms
David E. Goldberg
Springer, 2002, ISBN 978-1-4757-3643-4
http://dx.doi.org/10.1007/978-1-4757-3643-4
Introduction to Evolutionary Algorithms
Xinjie Yu and Mitsuo Gen
Springer, 2010, ISBN 978-1-84996-129-5
http://dx.doi.org/10.1007/978-1-84996-129-5
Analyzing Evolutionary Algorithms:
The Computer Science Perspective
Thomas Jansen
Springer, 2013, ISBN 978-3-642-17339-4
http://dx.doi.org/10.1007/978-3-642-17339-4
Introduction to Evolutionary Computation and Genetic
Programming
http://dx.doi.org/10.1007/978-3-642-17310-3_1
Cartesian Genetic Programming
http://dx.doi.org/10.1007/978-3-642-17310-3_2
Cartesian Genetic Programming
Julian F. Miller
Springer, 2011, ISBN 978-3-642-17310-3
http://dx.doi.org/10.1007/978-3-642-17310-3
Evolutionary Algorithms (Chapter 3)
http://dx.doi.org/10.1007/978-3-642-02541-9_3
Automating the Design of Data Mining Algorithms:
An Evolutionary Computation Approach
Gisele L. Pappa and Alex A. Freitas
Springer, 2010, ISBN 9783-642-02541-9
http://dx.doi.org/10.1007/978-3-642-02541-9
Data Mining: Practical Machine Learning Tools and
Techniques, Third Edition
Ian H. Witten, Eibe Frank, and Mark A. Hall
Elsevier, 2011, ISBN 978-0-12-374856-0
Global Optimization Algorithms – Theory and Application
Thomas Weise
http://www.it-weise.de/projects/
Theory of genetic algorithms
Lothar M. Schmitt
Theoretical Computer Science,
Volume 259, Number 1-2 (May 2001)
http://dx.doi.org/10.1016/S0304-3975(00)00406-0
Theory of Genetic Algorithms II:
Models for genetic operators over the string-tensor
representation of populations and convergence to global
optima for arbitrary fitness function under scaling
Lothar M. Schmitt
Volume 310, Number 1-3 (January 2004)
http://dx.doi.org/10.1016/S0304-3975(03)00393-1
Linear analysis of genetic algorithms
Lothar M. Schmitt, Christopher L. Nehaniv, and Robert H. Fujii
Volume 200, Number 1-2 (June 1998)
http://dx.doi.org/10.1016/S0304-3975(98)00004-8
Progress in Genetic Programming and Evolvable Machines
(special issue)
Genetic Programming and Evolvable Machines,
Volume 11, Numbers 3-4 (September 2010)
http://link.springer.com/journal/10710/11/3/
A Field Guide to Genetic Programming
Rioccardo Poli, William B. Langdon, and Nicholas F. McPhee
http://www.gp-field-guide.org.uk/
GENETIC PROGRAMMING AND DATA STRUCTURES:
Genetic Programming + Data Structures = Automatic
Programming!
W. B. Langdon
Springer, 1998, ISBN 978-1-4615-5731-9
http://dx.doi.org/10.1007/978-1-4615-5731-9
Genetic Algorithms – Principles and Perspectives:
A Guide to GA Theory
Colin R. Reeves and Jonathan E. Rowe
Springer, 2002, ISBN 9788-0-306-48050-8
http://dx.doi.org/10.1007/b101880
Genetic Programming Theory and Practice
Rick Riolo and Bill Worzel (Editors)
Springer, 2003, ISBN 978-1-4419-8983-3
http://dx.doi.org/10.1007/978-1-4419-8983-3
Genetic Programming Theory and Practice II
Una-May O”Reilly, Tina Yu, Rick Riolo, and Bill Worzel
(Editors)
Springer, 2005, ISBN 978-0-387-23254-6
http://dx.doi.org/10.1007/b101112
Genetic Programming Theory and Practice III
Tina Yu, Rick Riolo, and Bill Worzel (Editors)
Springer, 2006, ISBN 978-0-387-28111-7
http://dx.doi.org/10.1007/0-387-28111-8
Genetic Programming Theory and Practice IV
Rick Riolo, Terence Soule, and Bill Worzel (Editors)
Springer, 2007, ISBN 978-0-387-49650-4
http://dx.doi.org/10.1007/978-0-387-49650-4
Genetic Programming Theory and Practice V
Springer, 2008, ISBN 978-0-387-76308-8
http://dx.doi.org/10.1007/978-0-387-76308-8
Genetic Programming Theory and Practice VI
Springer, 2009, ISBN 978-0-387-87623-8
http://dx.doi.org/10.1007/978-0-387-87623-8
Genetic Programming Theory and Practice VII
Rick Riolo, Una-May O’Reilly, and Trent McConaghy (Editors)
Springer, 2010, ISBN 978-1-4419-1626-6
http://dx.doi.org/10.1007/978-1-4419-1626-6
Genetic Programming Theory and Practice VIII
Rick Riolo, Trent McConaghy, and Ekaterina Vladislavleva
(Editors)
Springer, 2011, ISBN 978-1-4419-7747-2
http://dx.doi.org/10.1007/978-1-4419-7747-2
Genetic Programming Theory and Practice IX
Rick Riolo, Ekaterina Vladislavleva, and Jason H. Moore
(Editors)
Springer, 2011, ISBN 978-1-4419-1770-5
http://dx.doi.org/10.1007/978-1-4614-1770-5
Genetic Programming Theory and Practice X
Rick Riolo, Ekaterina Vladislavleva, Marylin D. Ritchie,
and Jason H. Moore (Editors)
Springer, 2013, ISBN 978-1-4614-6846-2
http://dx.doi.org/10.1007/978-1-4614-6846-2
Genetic Programming Theory and Practice XI
Rick Riolo, Jason H. Moore, and Mark Kotanchek (Editors)
Springer, 2014, ISBN 978-1-4939-0375-7
http://dx.doi.org/10.1007/978-1-4939-0375-7
Genetic Programming IV: Routine Human-Competitive
Intelligence
John R. Koza, Martin A. Keane, Matthew J. Streeter,
William Mydlowec, Jessen Yu, and Guido Lanza
Springer, 2003, ISBN 978-0-387-26417-2
http://dx.doi.org/10.1007/b137549
Genetic Programming and Emergence
(Includes a Special Peer Commentary Section)
Genetic Programming and Evolvable Machines,
Theoretical Aspects of Evolutionary Computing
Leila Kallel, Bart Naudts, and Alex Rogers (Editors)
Springer, 2001, ISBN 978-3-662-0448-3
http://dx.doi.org/10.1007/978-3-662-04448-3
Evolutionary Computation in Data Mining
Ashish Ghosh and Lakhmi C. Jain (Editors)
Springer, 2005, ISBN 978-3-540-32358-7
http://dx.doi.org/10.1007/3-540-32358-9
Data Mining and Knowledge Discovery with Evolutionary
Algorithms
Alex A. Freitas
Springer, 2002, ISBN 978-3-662-04923-5
http://dx.doi.org/10.1007/978-3-662-04923-5
Automating the Design of Data Mining Algorithms:
An Evolutionary Computation Approach
Gisele L. Pappa and Alex A. Freitas
Springer, 2010, ISBN 978-3-642-02541-9
http://dx.doi.org/10.1007/978-3-642-02541-9
Distilling Free-Form Natural Laws from Experimental Data
Michael Schmidt and Hod Lipson
Science, Volume 324, Number 5923 (3 April 2009)
http://dx.doi.org/10.1126/science.1165893
Exploration and Exploitation in Evolutionary Algorithms
Matej Crepinsek, Shin-Hsu Liu, and Marjan Mernik
ACM Computing Surveys, Volume 45, Number 3 (June 2013)
http://dx.doi.org/10.1145/2480741.2480752
Efficient Natural Evolution Strategies
Yi Sun, Daan Wierstra, Tom Schaul, and Juergen Schmidhuber
Technical Report (2012)
Design of Modern Heuristics: Principles and Application
Franz Rothlauf
Springer, 2011, ISBN 978-3-540-72962-4
http://dx.doi.org/10.1007/978-3-540-72962-4
Heuristic Search: Theory and Applications
Stefan Edelkamp and Stefan Schrodl
Elsevier, 2012, ISBN 978-0-12-372-512-7
Search Theory: A Game Theoretic Perspective
Steve Alpern, Robbert Fokkink, Leszek Gasieniec,
Roy Lindelauf, and V.S. Subrahmanian (Editors)
Springer, 2013, ISBN 978-1-4614-6825-7
http://dx.doi.org/10.1007/978-1-4614-6825-7
Multiobjective Problem Solving from Nature:
From Concepts to Applications
Joshua Knowles, David Corne, and Kalyanmoy Deb (Editors)
Springer, 2008, ISBN 978-3-540-72964-8
http://dx.doi.org/10.1007/978-3-540-72964-8
Experimental Methods for the Analysis of Optimization
Algorithms
Thomas Bartz-Beielstein, Marco Chiarandini, Luis Paquete,
and Mike Preuss (Editors)
Springer, 2010, ISBN 978-3-642-02538-9
http://dx.doi.org/10.1007/978-3-642-02538-9
Experimental Research in Evolutionary Computation:
The New Experimentalism
Thomas Bartz-Beielstein
Springer, 2006, ISBN 978-3-540-32027-2
http://dx.doi.org/10.1007/3-540-32027-X
A Guide to Experimental Algorithmics
Catherine C. McGeoch
Complexity Theory: Exploring the Limits of Efficient
Algorithms
Ingo Wegener
Springer, 2005, ISBN 978-3-540-27477-3
http://dx.doi.org/10.1007/3-540-27477-4
Analyzing Evolutionary Algorithms:
The Computer Science Perspective
Thomas Jansen
Springer, 2013, ISBN 978-3-642-17339-4
http://dx.doi.org/10.1007/978-3-642-17339-4
Fundamentals of Parameterized Complexity
Robert G. Downey and Michael R. Fellows
Springer, 2013, ISBN 978-1-4471-5559-1
http://dx.doi.org/10.1007/978-1-4471-5559-1
Theory and Principled Methods for the Design of
Metaheuristics
Yossi Borenstein and Alberto Moraglio (Editors)
Springer, 2014, ISBN 978-3-642-33206-7
http://dx.doi.org/10.1007/978-3-642-33206-7
Handbook of Metaheuristics, Second Edition
Michel Gendreau and Jean-Yves Potvin (Editors)
Springer, 2010, ISBN 978-1-4419-1665-5
http://dx.doi.org/10.1007/978-1-4419-1665-5
Constraint Satisfaction Problems: CSP Formalisms and
Techniques
Khaled Ghedira
Wiley, 2013, ISBN 9781118574522
http://dx.doi.org/10.1002/9781118574522
Automated Configuration Problem Solving
Charles J. Petrie
Springer, 2012, ISBN 978-1-4614-4532-6
http://dx.doi.org/10.1007/978-1-4614-4532-6
Evolutionary and Biologically Inspired Music, Sound, Art and
Design:
Third International Conference, EvoMUSART 2014
Juan Romero, James McDermott, and Joao Correia (Editors)
Springer, 2014, ISBN 978-3-662-44335-4
http://dx.doi.org/10.1007/978-3-662-44335-4
An Introduction to Bioinformatics for Computer Scientists
David W. Corne and Gary B. Fogel
http://dx.doi.org/10.1016/B978-155860797-2/50003-2
An Introduction to Evolutionary Computation for Biologists
Gary B. Fogel and David W. Corne
http://dx.doi.org/10.1016/B978-155860797-2/50004-4
Evolutionary Computation in Bioinformatics
Gary B. Fogel and David W. Corne (Editors)
Elsevier, 2002, ISBN 978-1-55860-797-2
Bioinformatics and Constraints (Chapter 26)
Rolf Backofen and David Gilbert
Handbook of Constraint Programming
Francesca Rossi, Peter van Beek, and Toby Walsh (Editors)
Elsevier, 2006, ISBN 978-0-444-52726-4
2
Illustrating Evolutionary Computation with Mathematica
Christian Jacob
Elsevier, 2001, ISBN 978-1-55860-637-1
Special issue on GECCO competitions
Genetic Programming and evolvable Machines,
Volume 15, Number 4 (December 2014)
=======================================
Machine Learning =======================
Also see:
Probability and Statistics shelf in the
Mathematics section;
Data Mining shelf in the Computer Science
section.
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
A Course in Machine Learning
Hal Daume III (2014)
http://ciml.info/
Machine Learning: The Art and Science of Algorithms
that Make Sense of Data
Peter Flach
A Few Useful Things to Know About Machine Learning
Pedro Domingos
http://dx.doi.org/10.1145/2347736.2347755
Efficient Learning Machines:
Theories, Concepts, and Applications for Engineers and
System Designers
Mariette Awad and Rahul Khanna
Springer, 2015, ISBN 978-1-4302-5990-9
http://dx.doi.org/10.1007/978-1-4302-5990-9
Data Mining: Practical Machine Learning Tools and
Techniques, Third Edition
Ian H. Witten, Eibe Frank, and Mark A. Hall
Elsevier, 2011, ISBN 978-0-12-374856-0
Understanding Machine Learning: From Theory to Algorithms
Shai Shalev-Shwartz and Shai Ben-David
Encyclopedia of Machine Learning and Data Mining
Claude Sammut and Geoffrey I. Webb (Editors)
Springer, Live Reference – Constantly updated,
ISBN 978-1-4899-7502-7
http://dx.doi.org/10.1007/978-1-4899-7502-7
Statistical Data Mining (and Machine Learning) Tutorials
Andrew Moore
http://www.autonlab.org/tutorials/
The Auton Lab
http://www.autonlab.org/autonweb/2.html
Machine Learning Repository,
University of California, Irvine
http://archive.ics.uci.edu/ml/
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Machine Learning: A Bayesian and Optimization Perspective
Sergios Theodoridis
Elsevier, 2015, ISBN 978-0-12-801522-3
Bring Your Own Learner!
A Cloud-Based, Data-Parallel Commons for Machine Learning
Ignacio Arnaldo, Kalyan Veeramachaneni, Andrew Song,
and Una-May O’Reilly
IEEE Computational Intelligence Magazine,
http://dx.doi.org/10.1109/MCI.2014.2369892
Quantum Machine Learning:
What Quantum Computing Means to Data Mining
Peter Wittek
Elsevier, 2014, ISBN 978-0-12-800953-6
How Mature is the Field of Machine Learning?
Marcello Pelillo and Teresa Scantamburlo
http://dx.doi.org/10.1007/978-3-319-03524-6_11
AI*IA 2013: Advances in Artificial Intelligence
Matteo Baldoni, Cristina Baroglio, Guido Boella,
and Roberto Micalizio (Editors)
Springer, 2013, ISBN 978-3-319-03524-6
http://dx.doi.org/10.1007/978-3-319-03524-6
Challenges and Opportunities in Applied Machine Learning
Carla E. Brodley, Umaa Rebbapragada, Kevin Small,
and Byron C. Wallace
AI Magazine, Volume 33, Number 1 (Spring 2012)
http://www.aaai.org/ojs/index.php/aimagazine/article/view/2
367
What skills are needed for machine learning jobs?
http://www.quora.com/What-skills-are-needed-for-machinelearning-jobs
Quora – connects you to everything you want to know about
http://www.quora.com/
The Future of Employment:
How Susceptible Are Jobs to Computerisation?
Carl Benedikt Frey and Michael A. Osborne (2013)
http://www.oxfordmartin.ox.ac.uk/downloads/academic/The_
Future_of_Employment.pdf
Kernel Methods and Machine Learning
S. Y. Kung
Foundations of Rule Learning
Johannes Furnkranz, Dragan Gamberger, and Nada Lavrac
Springer, 2012, ISBN 978-3-540-75197-7
http://dx.doi.org/10.1007/978-3-540-75197-7
Delving into Deep Learning
Brian Hayes
http://dx.doi.org/10.1511/2014.108.186
Deep Learning Comes of Age
Gary Anthes
http://dx.doi.org/10.1145/2461256.2461262
Brains, Sex and Machine Learning
Geoffrey Hinton
Google TechTalks (June 2012)
http://www.youtube.com/watch?v=DleXA5ADG78
Representation Learning: A Review and New Perspectives
Yoshua Bengio, Aaron Courville, and Pascal Vincent
IEEE Transactions on Pattern Analysis and Machine
Intelligence,
Volume 35, Number 8 (August 2013) Pages 1798http://dx.doi.org/10.1109/TPAMI.2013.50
The dropout learning algorithm
Pierre Baldi and Peter Sadowski
Artificial Intelligence, Volume 210 (May 2014)
Modern Machine Learning Techniques and Their Application
in Cartoon Animation Research
Jun Yu and Dacheng Tao
Wiley, 2013, ISBN 9781118559963
http://dx.doi.org/10.1002/9781118559963
Machine Learning for Computer Vision
Roberto Cipolla, Sebastiano Battiato, and Giovanni Maria
Farinella (Editors)
Springer, 2013, ISBN 978-3-642-28661-2
http://dx.doi.org/10.1007/978-3-642-28661-2
Visual Saliency Computation:
A Machine Learning Perspective
Jia Li and Wen Gao
http://dx.doi.org/10.1007/978-3-319-05642-5
Machine Learning in Medicine
Ton J. Cleophas and Aeilko H. Zwinderman
Springer, 2013, 978-94-007-5824-7
http://dx.doi.org/10.1007/978-94-007-5824-7
Machine Learning in Medicine, Part Two
Ton J. Cleophas and Aeilko H. Zwinderman
Springer, 2013, ISBN 978-94-007-6886-4
http://dx.doi.org/10.1007/978-94-007-6886-4
Chapter 1 Introduction
**** This chapter introduces the idea of machine learning
**** for pattern recognition tasks
http://dx.doi.org/10.1007/978-3-642-40997-4_1
Hybrid Classifiers:
Methods of Data, Knowledge, and Classifier Combination
Michal Wozniak
Springer, 2014, ISBN 978-3-642-40997-4
http://dx.doi.org/10.1007/978-3-642-40997-4
Herbert A. Simon
Why Should Machines Learn?
**** Paper written for the Carnegie Symposium on Cognition
****
**** – “it was really about psychology” ****
http://www-edlab.cs.umass.edu/cs689/2010-lectures/simonwhy-should-machines-learn.pdf
Chapter 2 Why Should Machines Learn?
Machine Learning: An artificial intelligence approach
R. S. Michalski, J. G. Carbonell, and T. M. Mitchell (Editors)
Morgan Kaufmann, 1983
**** At the link below
**** Click on Series VIII: Publications – (1938) 1949-2000
**** In the Search For: window type in why should machines
learn?
**** and click on Search
**** Scroll to Item 11 (note: item number may change),
**** click on the title,
**** and then click on the Show Document icon
http://digitalcollections.library.cmu.edu/portal/guest.jsp?smd=
2&cl=library1_lib&nid=93636
Herbert Simon Collection
http://diva.library.cmu.edu/Simon/
Wikipedia:
http://en.wikipedia.org/wiki/Herbert_A._Simon
Machine Learning
Achim Hoffmann and Ashesh Mahidadia
http://dx.doi.org/10.1007/978-3-642-02788-8_2
Statistical Inference
Shahjahan Khan
http://dx.doi.org/10.1007/978-3-642-02788-8_3
The Philosophy of Science and its relation to Machine Learning
Jon Williamson
http://dx.doi.org/10.1007/978-3-642-02788-8_4
Scientific Data Mining and Knowledge Discovery:
Principles and Foundations
Mohamed Medhat Gaber (Editor)
Springer, 2010, ISBN 978-3-642-02788-8
http://dx.doi.org/10.1007/978-3-642-02788-8
Explanation-Based Neural Network Learning:
A Lifelong Learning Approach
Sebastian Thrun
Springer, 1996, ISBN 978-1-4613-1381-6
http://dx.doi.org/10.1007/978-1-4613-1381-6
Learning to Learn
Sebastian Thrun and Lorien Pratt (Editors)
Springer, 1998, ISBN 978-1-4615-5529-2
http://dx.doi.org/10.1007/978-1-4615-5529-2
Emerging Paradigms in Machine Learning
Sheela Ramanna, Lakhmi C. Jain, and Robert J. Howlett
(Editors)
Springer, 2013, ISBN978-3-642-28699-5
http://dx.doi.org/10.1007/978-3-642-28699-5
Self-Adaptive Systems for Machine Intelligence
Haibo He
Wiley, 2011, ISBN 9781118025604
http://dx.doi.org/10.1002/9781118025604
Imbalanced Learning:
Foundations, Algorithms, and Applications
Haibo He and Yunqian Ma (Editors)
Wiley, 2013, ISBN 9781118646106
http://dx.doi.org/10.1002/9781118646106
Human and Machine Problem Solving
K. J. Gilhooly (Editor)
Springer, 1989, ISBN 978-1-4684-8015-3
http://dx.doi.org/10.1007/978-1-4684-8015-3
Thinking and Problem Solving
Robert J. Sternberg (Editor)
Elsevier, 1994, ISBN 978-0-08-057299-4
The Psychology of Problem Solving
Janet E. Davidson and Robert J. Sternberg (Editors)
Chapter 8 Problem Solving
Thomas B. Ward
http://dx.doi.org/10.1016/B978-0-12-374714-3.00008-2
Handbook of Organizational Creativity
Michael D. Mumford (Editor)
Elsevier, 2012, ISBN 978-0-12-374714-3
Chapter 4 Machine Learning: The Ghost in the Learning
Machine
http://dx.doi.org/10.1007/978-3-540-69913-2_4
How to Create Value
Arthur K. Kordon
Springer, 2010, ISBN 978-3-540-69913-2
http://dx.doi.org/10.1007/978-3-540-69913-2
Preferences in AI: An Overview
Carmel Domshlak, Eyke Hullermeier, Souhila Kaci,
and Henri Prade
Representing, Processing, and Learning Preferences:
Theoretical and Practical Challenges (special issue)
Volume 175, Issues 7-8 (May 2011)
Preference Learning
Johannes Furnkranz and Eyke Hullermeier (Editors)
Springer, 2010, ISBN 978-3-642-14125-6
http://dx.doi.org/10.1007/978-3-642-14125-6
Never Ending Language Learning
Tom M. Mitchell
http://www.youtube.com/watch?v=51q2IajH94A
Homepage of Tom Mitchell, E. Fredkin University Professor;
Chair, Machine Learning Department;
School of Computer Science; Carnegie Mellon University
http://www.cs.cmu.edu/~tom/
Machine Learning, Neural and Statistical Classification
D. Michie, D.J. Spiegelhalter, and C.C. Taylor (Editors)
Ellis Horwood, 1994
http://www1.maths.leeds.ac.uk/~charles/statlog/
Machine learning and radiology
Shijun Wang and Ronald M. Summers
Medical Image Analysis, Volume 16, Number 5 (July 2012)
http://dx.doi.org/10.1016/j.media.2012.02.005
Machine Learning and Steganalysis
Hans Georg Schaathun
Wiley, 2012, ISBN9781118437957
http://dx.doi.org/10.1002/9781118437957
Active Learning
Burr Settles
Morgan & Claypool, 2012, ISBN 9781608457267
http://dx.doi.org/10.2200/S00429ED1V01Y201207AIM018
Good Learners for Evil Teachers
Ofer Dekel and Ohad Shami
Proceedings of the 26th Annual International Conference on
Machine Learning, ICML 2009
http://dx.doi.org/10.1145/1553374.1553404
*** Free *****************************************
http://research.microsoft.com/pubs/80598/dekelsh09.pdf
Video of the lecture
http://videolectures.net/icml09_dekel_glfet/
Videos, ICML 2009 Sessions
http://videolectures.net/icml09_sessions/
Learning From Crowds
Vikas C. Raykar, Shipeng Yu, Linda H. Zhao,
Gerardo Hermosillo Valdez, Charles Florin, luka Bogoni,
and Linda Moy
Journal of Machine Learning Research, Volume 11 (April 2010)
http://jmlr.csail.mit.edu/papers/v11/raykar10a.html
Introduction to Semi-Supervised Learning
Xiaojin Zhu and Andrew B. Goldberg
When Errors Become the Rule:
Twenty Years with Transformation-Based Learning
Marcus Uneson
ACM Computing Surveys, Volume 46, Number 4 (April 2014)
http://dx.doi.org/10.1145/2534189
Case-Based Reasoning: A Concise Introduction
Beatriz Lopez
Relational Knowledge Discovery
M E Muller
Meta-Algorithmics:
Patterns for Robust, Low-Cost. High-Quality Systems
Steven J. Simske
Wiley, 2013, ISBN 9781118626719
http://dx.doi.org/10.1002/9781118626719
Human Computation
Edith Law and Luis von Ahn
Reinforcement Learning: An Introduction
Richard S. Sutton and Andrew G. Barto
MIT Press, 1998
http://webdocs.cs.ualberta.ca/~sutton/book/the-book.html
Errata and Notes
http://webdocs.cs.ualberta.ca/~sutton/book/errata.html
Richard S. Sutton, Professor and iCore chair
Department of Computing Science, University of Alberta,
Canada
http://webdocs.cs.ualberta.ca/~sutton/
Reinforcement and Systemic Machine Learning for Decision
Making
Parag Kulkarni
Wiley, 2012, ISBN 9781118266502
http://dx.doi.org/10.1002/9781118266502
Algorithms for Reinforcement Learning
Csaba Szepesvari
Reinforcement Learning Repository,
University of Massachusetts, Amherst
http://www-anw.cs.umass.edu/rlr/
Information Theory, Inference, and Learning Algorithms
David MacKay
Cambridge University Press, 2003
http://www.inference.phy.cam.ac.uk/itprnn/book.html
David J.C. MacKay FRS
Professor of Natural Philosophy, Department of Physics,
Cavendish Laboratory, University of Cambridge
http://www.inference.phy.cam.ac.uk/mackay/
Prediction, Learning, and Games
Nicolo Cesa-Bianchi and Gabor Lugosi
Machine Learning for Adaptive Many-Core Machines – A
Practical Approach
Noel Lopes and Bernardete Ribeiro
Springer, 2015, ISBN 978-3-319-06938-8
http://dx.doi.org/10.1007/978-3-319-06938-8
Support Vector Machines
Ingo Steinwart and Andreas Christmann
Springer, 2008, ISBN 978-0-387-77242-4
http://dx.doi.org/10.1007/978-0-387-77242-4
Learning to Classify Text Using Support Vector Machines
Thorsten Joachims
Springer, 2002, 978-1-4615-0907-3
http://dx.doi.org/10.1007/978-1-4615-0907-3
Prediction, Learning, and Games
Nicolo Cesa-Bianchi and Gabor Lugosi
Cambridge University Press, 2006, ISBN 978-0-511-54692-1
Chapter 1 Algorithmic Probability: Theory and Applications
Ray J. Solomonoff
http://dx.doi.org/10.1007/978-0-387-84816-7_1
Information Theory and Statistical Learning
Frank Emmert-Streib and Matthias Dehmer (Editors)
Springer, 2009, ISBN 978-0-387-84816-7
http://dx.doi.org/10.1007/978-0-387-84816-7
Home Page of Ray Solomonoff
http://www.idsia.ch/~juergen/ray.html
Wikipedia:
http://en.wikipedia.org/wiki/Ray_Solomonoff
Probability for Statistics and Machine Learning:
Fundamentals and Advanced Topics
Anirban DasGupta
Springer, 2011, ISBN 978-1-4419-9634-3
http://dx.doi.org/10.1007/978-1-4419-9634-3
From Curve Fitting to Machine Learning:
An Illustrative Guide to Scientific Data Analysis and
Computational Intelligence
Achim Zielesny
Springer, 2011, ISBN978-3-642-21280-2
**** Uses Mathematica ****
**** and the Computational Intelligence Packages (CIP) ****
http://dx.doi.org/10.1007/978-3-642-21280-2
Algorithmic Learning in a Random World
Vladimir Vovk, Alexander Gammerman, and Glenn Shafer
Springer, 2005, ISBN 978-0-387-25061-8
http://dx.doi.org/10.1007/b106715
A Tutorial on Learning Causal Influence
Richard E. Neapolitan and Xia Jiang
http://dx.doi.org/10.1007/3-540-33486-6_2
Learning Based Programming
Dan Roth
http://dx.doi.org/10.1007/3-540-33486-6_3
Innovations in Machine Learning: Theory and Applications
Dawn E. Holmes and lakhmi C. Jain (Editors)
Springer, 2006, ISBN 978-3-540-33486-6
http://dx.doi.org/10.1007/3-540-33486-6
The Machine Learning journal: 25 years young
Peter A. Flach
25th Anniversary Issue
Machine Learning, Volume 82, Number 3 (March 2011)
http://dx.doi.org/10.1007/s10994-011-5241-z
Machine learning in adversarial environments
Pavel Liskov and Richard Lippmann
Special Issue on Machine Learning in Adversarial
Environments
Machine Learning, Volume 81, Number 2 (November 2010)
http://dx.doi.org/10.1007/s10994-010-5207-6
Guest editorial: special issue on learning theory
Sham Kakade and Ping Li
Special Issue on Learning Theory
Machine Learning, Volume 80, Numbers 2-3 (September 2010)
http://dx.doi.org/10.1007/s10994-010-5181-z
A New Framework for Machine Learning
Christopher M. Bishop
http://dx.doi.org/10.1007/978-3-540-68860-0_1
Computational Intelligence: Research Frontiers;
IEEE World Congress on Computational Intelligence, WCCI
2008
Jacek M. Zurada, Gary G. Yen, and Jun Wang (Editors)
Springer, 2008, ISBN 978-3-540-68860-0
http://dx.doi.org/10.1007/978-3-540-68860-0
Home Page of Christopher M. Bishop
http://research.microsoft.com/~cmbishop
Learning Bayesian networks: approaches and issues
Ronan Daly, Qiang Shen, and Stuart Aitken
The Knowledge Engineering Review, Volume 26, Number 2
(2011)
http://dx.doi.org/10.1017/S0269888910000251
Bayesian Reasoning and Machine Learning
David Barber
Learning probabilistic networks
Paul J. Krause
The Knowledge Engineering Review,
http://dx.doi.org/10.1017/S0269888998004019
Competitive learning in biological and artificial neural
computation
Nathan Intrator and Shimon Edelman
Trends in Cognitive Science,
http://dx.doi.org/10.1016/S1364-6613(97)01066-8
Learning from Delayed Rewards
Christopher John Cornish Hellaby Watkins
Ph.D. Thesis, 1989, Kings College
http://www.cs.rhul.ac.uk/~chrisw/thesis.html
Website of Chris Watkins
http://www.cs.rhul.ac.uk/~chrisw/
Multidimensional Particle Swarm Optimization for
Machine Learning and Pattern Recognition
Serkan Kiranyaz, Turker Ince, and Moncef Gabbouj
Springer, 2014, ISBN 978-3-642-37846-1
http://dx.doi.org/10.1007/978-3-642-37846-1
Machine Learning and Knowledge Discovery in Databases:
European Conference, ECML PKDD 2014, Proceedings, Part III
Tom Calders, Floriana Esposito, Eyke Hullermeier, and Rosa
Meo (Editors)
Springer, 2014, ISBN 978-3-662-33845-8
http://dx.doi.org/10.1007/978-3-662-44845-8
Conformal Prediction for Reliable Machine Learning:
Theory, Adaptations and Applications
Vineeth N. Balasubramanian, Shen-Shyang Ho, and Vladimir
Vovk
Elsevier, 2014, ISBN 978-0-12-398537-8
Malware and Machine Learning
Charles LeDoux and Arun Lakhotia
http://dx.doi.org/10.1007/978-3-319-08624-8_1
Intelligent Methods for Cyber Warfare
Ronald R. Yager, Marek Z. Reformat, and Naïf Alajlan (Editors)
Springer, 2015, ISBN 978-3-319-08624-8
http://dx.doi.org/10.1007/978-3-319-08624-8
Feature Extraction: Foundations and Applications
Isabelle Guyon, Steve Gunn, Masoud Nikravesh,
and Lofti A. Zadeh (Editors)
Springer, 2006, ISBN 978-3-540-35488-8
http://dx.doi.org/10.1007/978-3-540-35488-8
Feature Selection for Data and Pattern Recognition
Urszula Stanczyk and lakhmi C. Jain (Editors)
Springer, 2015, ISBN 978-3-662-45620-0
http://dx.doi.org/10.1007/978-3-662-45620-0
Combining Pattern Classifiers: Methods and Algorithms,
Second Edition
Ludmila Kuncheva
Wiley, 2014, ISBN 9781118914564
http://dx.doi.org/10.1002/9781118914564
Advances in Independent Component Analysis and Learning
Machines
Ella Bingham, Samuel Kaski, Jorma Laaksonen,
and Jouko Lampinen
Elsevier, 2015, ISBN 978-0-12-802806-3
Sparse Modeling: Theory, Algorithms, and Applications
Irina Rish and Genady Ya. Grabarnik
CRC Press, 2015, ISBN 978-1-4398-2870-0
http://www.crcnetbase.com/doi/book/10.1201/b17758
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Unsupervised Learning
H.B. Barlow
Neural Computation, Volume 1, Number 3 (Fall 1989)
http://dx.doi.org/10.1162/neco.1989.1.3.295
Unsupervised Learning: A Dynamic Approach
Matthew Kyan, Paisarm Muneesawang, Kambiz Jarrah,
and Ling Guan
Wiley, 2014, ISBN 9781118875568
http://dx.doi.org/10.1002/9781118875568
Unsupervised Learning Procedures for Neural Networks
Suzanna Becker
International Journal of Neural Systems,
http://graduate.mcmaster.ca/pnb/department/becker/pub_ne
ural.html
Advances in Independent Component Analysis and Learning
Machines
Ella Bingham, Samuel Kaski, Jorma Laaksonen,
and Jouko Lampinen (Editors)
Elsevier, 2015, ISBN 978-0-12-802806-3
=======================================
Computational Intelligence ===============
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
How to Create Value
Arthur K. Kordon
Springer, 2010, ISBN 978-3-540-69913-2
http://dx.doi.org/10.1007/978-3-540-69913-2
Past, Today, and Future (Chapter 1)
Cengiz Kahraman, Ihsan Kaya, and Didem Cinar
http://dx.doi.org/10.2991/978-94-91216-29-9_1
Computational Intelligence in Complex Decision Systems
Da Ruan (Editor)
Springer, 2010, ISBN 978-94-91216-29-9
http://dx.doi.org/10.2991/978-94-91216-29-9
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Algorithmic Aspects of Analysis, Prediction, and Control in
Science and Engineering:
An Approach Based on Symmetry and Similarity
Jaime Nava and Vladik Kreinovich
Springer, 2015, ISBN 978-3-662-44955-4
http://dx.doi.org/10.1007/978-3-662-44955-4
Artificial Intelligence, Evolutionary Computing and
Metaheuristics: In the Footsteps of Alan Turing
Springer, 2013, ISBN 978-3-642-29694-9
http://dx.doi.org/10.1007/978-3-642-29694-9
Computational Intelligence and Pattern Analysis in Biological
Informatics
Ujjwal Maulik, Sanghamitra Bandyopadhyay,
and Jason T.L. Wang (Editors)
Wiley, 2010, ISBN 9780470872352
http://dx.doi.org/10.1002/9780470872352
Computational Intelligence: A Methodological Introduction
Rudolf Kruse, Christian Borgelt, Frank Klawonn,
Christian Moewes, Matthias Steinbrecher, and Pascal Held
Springer, 2013, ISBN 978-1-4471-5013-8
http://dx.doi.org/10.1007/978-1-4471-5013-8
Computational Intelligence Paradigms:
Innovative Applications
Lakhmi C. Jain, Mika Sato-Ilic, Maria Virvou,
George A. Tsihrintzis, Valentina Emilia Balas,
and Canicious Abeynayake (Editors)
Springer, 2008, ISBN 978-3-540-79474-5
http://dx.doi.org/10.1007/978-3-540-79474-5
Principles, Techniques and Applications
Amit Konar
Springer, 2005, ISBN 978-3-540-27335-6
http://dx.doi.org/10.1007/b138935
Computational Intelligence: Synergies of Fuzzy Logic,
Neural Networks and Evolutionary Computing
Nazmul Siddique and Hojjat Adeli
Wiley, 2013, ISBN 9781118534823
http://dx.doi.org/10.1002/9781118534823
Design of Modern Heuristics: Principles and Application
Franz Rothlauf
Springer, 2011, ISBN 978-3-540-72962-4
http://dx.doi.org/10.1007/978-3-540-72962-4
Engineering General Intelligence, Part 1:
A Path to Advanced AGI via Embodied Learning and Cognitive
Synergy
Ben Goertzel, Cassio Pennachin, and Nil Geisweiller
Springer, 2014, ISBN 978-94-6239-027-0
http://dx.doi.org/10.2991/978-94-6239-027-0
The CogPrime Architecture for Integrative, Embodied AGI
Springer, 2014, ISBN 978-94-6239-030-0
http://dx.doi.org/10.2991/978-94-6239-030-0
If you are a dog lover, build expert systems; if you are a cat
lover, build neural networks
Jay Liebowitz
Expert Systems with Applications,
Volume 21, Issue 2 (August 2001)
http://dx.doi.org/10.1016/S0957-4174(01)00026-4
Innovative Computational Intelligence:
A Rough Guide to 134 Clever Algorithms
Bo Xing and Wen-Jing Gao
Springer, 2014, ISBN 978-3-319-03404-1
http://dx.doi.org/10.1007/978-3-319-03404-1
Metacognition: Fundaments, Applications, and Trends:
A Profile of the Current State-Of-The-Art
Alejandro Pena-Ayala (Editor)
Springer, 2015, ISBN 978-3-319-11062-2
http://dx.doi.org/10.1007/978-3-319-11062-2
Meta-Learning in Decision Tree Induction
Krzysztof Grabczewski
Springer, 2014, ISBN 978-3-319-00960-5
http://dx.doi.org/10.1007/978-3-319-00960-5
A Perspective on Agent Systems:
Paradigm, Formalism, Examples
Krzysztof Cetnarowicz
Springer, 2015, ISBN 978-3-319-13197-9
http://dx.doi.org/10.1007/978-3-319-13197-9
Computing Framework
Springer, 2014, ISBN 978-81-322-1862-3
http://dx.doi.org/10.1007/978-81-322-1862-3
A Survey of Cost-Sensitive Decision Tree Induction Algorithms
Susan Lomax and Sunil Vadera
http://dx.doi.org/10.1145/2431211.2431215
What is a heuristic?
Marc H.J. Romanycia and Francis Jeffry Pelletier
Computational Intelligence,
Structural Equation Models: From Paths to Networks
J. Christopher Westland
Springer, 2015, ISBN 978-3-319-16507-3
http://dx.doi.org/10.1007/978-3-319-16507-3
=======================================
Debates in AI: the Turing Test =============
A. M. Turing
Intelligent Machinery, A Heretical Theory
A. M. Turing
Philosophia Mathematica, Volume 4, Number 3 (September 1996)
http://dx.doi.org/10.1093/philmat/4.3.256
Can digital computers think?
A. M. Turing
Transcript of a talk broadcast on BBC (15 May 1951)
http://turingarchive.org/browse.php/B/5
Can automatic calculating machines be said to think?
A. M. Turing
Transcript of a talk broadcast on BBC (14 and 23 January 1952)
http://turingarchive.org/browse.php/B/6
Mind vs. Machine
Brian Christian
**** Excerpted from the author’s book ****
**** “The Most Human Human” ****
Atlantic Magazine (March 2011)
http://www.theatlantic.com/magazine/print/2011/03/mind-vsmachine/8386/
The Most Human Human:
What Artificial Intelligence Teaches Us About Being
Alive
Brian Christian
Santa Fe Institute (February 2012)
http://www.youtube.com/watch?v=8Zs-GQ-ECLs
The Turing Test:
The Elusive Standard of Artificial Intelligence
James H. Moor (Editor)
Springer, 2003, ISBN978-94-010-0105-2
http://dx.doi.org/10.1007/978-94-010-0105-2
Passing the Turing Test:
Philosophical and Methodological Issues in the
Quest for the Thinking Computer
Robert Epstein, Gary Roberts and Grace Beber (Editors)
Springer, 2009, ISBN 978-1-4020-6710-5
http://dx.doi.org/10.1007/978-1-4020-6710-5
Turing: Then, Now and Still Key
Kieran Greer
http://dx.doi.org/10.1007/978-3-642-29694-9_3
Artificial Intelligence, Evolutionary Computing and
Metaheuristics:
In the Footsteps of Alan Turing
Springer, 2013, ISBN 978-3-642-29694-9
http://dx.doi.org/10.1007/978-3-642-29694-9
Turing Test Considered Mostly Harmless
Daniel Berrar, Akihiko Konagaya, and Alfons Schuster
New Generation Computing, Volume 31, Number 2 (October 2013)
http://dx.doi.org/10.1007/s00354-013-0401-2
Turing Revisited: A Cognitively-Inspired Decomposition
Tarek Richard Besold
http://dx.doi.org/10.1007/978-3-642-31674-6_9
Philosophy and Theory of Artificial Intelligence
Vincent C. Muller (Editor)
Springer, 2013, ISBN 978-3-642-31674-6
http://dx.doi.org/10.1007/978-3-642-31674-6
On the Claim that a Table-Lookup Program Could Pass the Turing Test
Drew McDermott
Minds and Machines, Volume 24, Number 2 (May 2014)
http://dx.doi.org/10.1007/s11023-013-9333-3
The Trouble with the Turing Test
Mark Halpern
http://www.thenewatlantis.com/publications/the-trouble-with-theturing-test
Letter by Hugh Loebner and response by Mark Halpern
The New Atlantis (Spring 2006)
http://www.thenewatlantis.com/publications/correspondence-spring2006
Alan Turing and Artificial Intelligence (special issue)
Journal of Logic, Language and Information,
http://dx.doi.org/10.1023/A:1008389623883
**** One of the articles with links - the latest version
**********************************************
Minds, Machines and Turing: The Indistinguishability of
Indistinguishables
Stevan Harnad
Computing Machines Can’t Be Intelligent (…and Turing Said So)
Peter Kugel
Minds and Machines, Volume 12 Number 4, November 2002
http://dx.doi.org/10.1023/A:1021150928258
Anthropomorphism and AI:
Turing’s much misunderstood imitation game
Diane Proudfoot
Special Review Issue
Volume 175, Issues 5-6 (April 2011)
Not Another Look at the Turing Test!
Kevin Warwick
http://dx.doi.org/10.1007/978-3-642-27660-6_11
SOFSEM 2012: Theory and Practice of Computer Science
Maria Bielikova, Gerhard Friedrich, Georg Gottlob,
Stefan Katzenbeisser, and Gyorgy Turan (Editors)
http://dx.doi.org/10.1007/978-3-642-27660-6
Minds, Brains, and Turing
Stevan Harnad
Consciousness Online – The Online Consciousness Conference, 2011
http://consciousnessonline.com/2011/02/18/minds-brains-and-turing/
Watson and the Turing Test
Philip Greenspun, February 2011
http://philip.greenspun.com/software/watson
Turing’s misunderstood imitation game and IBM’s Watson Success
Huma Shah
AISB 2011 Convention – York, UK
http://www.academia.edu/474617/Turings_misunderstood_imitation_
game_and_IBMs_Watson_success
From the Buzzing in Turing’s Head to Machine Intelligence Contests
Huma Shah
AISB 2010 Convention – Leicester, UK
http://www.academia.edu/226311/From_the_Buzzing_in_Turings_Hea
d_to_Machine_Intelligence_Contests
The Turing Machine Revisited:
The computational complexity of a visually conscious machine
Alan Rosen and David Rosen
11th Annual Meeting of the Association for the Scientific Study of
Consciousness, 2007
http://www.theassc.org/documents/the_turing_machine_revisitedthe
_computational_complexity_of_a_visually_conscious_machine
Association for the Scientific Study of Consciousness
http://www.theassc.org/
Semantics, experience, and time
Stephen E. Robbins
http://dx.doi.org/10.1016/S1389-0417(02)00045-1
Special Issue: Situated and Embodied Cognition
Cognitive Systems Research, Volume 3, Number 3 (September 2002)
Moving Beyond the Turing Test
Robert M. French
http://dx.doi.org/10.1145/2380656.2380674
Descartes’ influence on Turing
Darren Abramson
Studies in History and Philosophy of Science, Volume 42 (2011)
http://dx.doi.org/10.1016/j.shpsa.2011.09.004
Alan Turing’s “Computing Machinery and Intelligence”
Cristiano Castelfranchi
Topoi, Volume 32, Number 2 (October 2013)
*** the author gets a bit cute *************
http://dx.doi.org/10.1007/s11245-013-9182-y
Variations of the Turing Test in the Age of Internet and Virtual Reality
Florentin Neumann, Andrea Reichenberger, and Martin Ziegler
Faith in the Algorithm, Part 1: Beyond the Turing Test
Marko A. Rodriguez and Alberto Pepe
Faith in the Algorithm, Part 2: Computational Eudaemonics
Marko A. Rodriguez and Alberto Pepe
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Home Page of The Loebner Prize in Artificial Intelligence
http://www.loebner.net/Prizef/loebner-prize.html
The Turing Test (The Turing Test on PhilPapers)
Online Papers on Consciousness
http://consc.net/online/6.1a
=======================================
Debates in AI: the Chinese Room Argument =
=======================================
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Scripts, Plans, Goals, and Understanding
(Chapters 1 – 3)
R.C. Schank & R.P. Abelson
http://dx.doi.org/10.1016/B978-1-4832-1446-7.50019-4
Readings in Cognitive Science:
A Perspective from Psychology and Artificial Intelligence
Allan Collins and Edward E. Smith
Elsevier, 1988, ISBN 978-1-4832-1446-7
4467
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
John R. Searle
Minds, brains, and programs
Behavioral and Brain Sciences,
Volume 3, Number 3 (September 1980) Pages 417-457
*** includes 27 commentaries and Author’s Response ***
http://dx.doi.org/10.1017/S0140525X00005756
The Chinese room revisited
Volume 5, Number 2 (June 1982) Pages 338-348
*** Continuing Commentary ****
*** includes 7 more commentaries with Authors Response ***
http://dx.doi.org/10.1017/S0140525X00012425
Intentionality: An essay in the philosophy of mind
Patterns, symbols, and understanding
Volume 8, Number 4 (December 1985) Pages 741-743
*** includes one more commentary with Authors Response ***
http://dx.doi.org/10.1017/S0140525X00045994
Is the Brain’s Mind a Computer Program? Pages 26-31
Scientific American, Volume 262, Number 1 (January 1990)
http://www.nature.com/scientificamerican/journal/v262/n1/index.htm
l#features
The causal power of the brain: The necessity of
sufficiency
Volume 13, Number 1 (March 1990) Pages 163-164
*** includes one more commentary with Authors Response ***
http://dx.doi.org/10.1017/S0140525X00078092
Consciousness, explanatory inversion, and cognitive
science
*** includes 34 commentaries and Authors Response ***
http://dx.doi.org/10.1017/S0140525X00080304
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Hannoch Ben-Yami
A note on the Chinese Room
Synthese, Volume 95, Number 2 (May 1993)
http://dx.doi.org/10.1007/BF01064586
B. Jack Copeland
Turing’s O-machines, Searle, Penrose and the brain
Analysis, Volume 58, Number 2 (April 1998)
http://dx.doi.org/10.1111/1467-8284.00113
http://dx.doi.org/10.1093/analys/58.2.128
Paul M. Churchland and Patricia Smith Churchland
Could a Machine Think?
Scientific American, Volume 262, Number 1 (January 1990)
http://www.nature.com/scientificamerican/journal/v262/n1/index.htm
l#features
Roger Fellows
Welcome to Wales: Searle on the Computational Theory of Mind
http://dx.doi.org/10.1017/CBO9780511524080.007
Philosophy and Technology
Roger Fellows (Editor)
Siegfried Kanngieber
Inside and Outside the Chinese Room
Foundations of Computer Science:
Potential – Theory – Cognition
Christian Freksa, Matthias Jantzen, and Rudiger Valk (Editors)
Michael Kober
Kripkenstein Meets the Chinese Room:
Looking for the Place of Meaning from a Natural Point if View
Inquiry: An Interdisciplinary Journal of Philosophy,
Volume 41, Number 3 (1998) Pages 317-332
http://dx.doi.org/10.1080/002017498321797
Justin Leiber
The Light Bulb and the Turing-Tested Machine
Journal for the Theory of Social Behaviour,
George Rey
What’s really going on in Searle’s Chinese room?
Philosophical Studies,
http://dx.doi.org/10.1007/BF00354586
Ted A. Warfield
Searle’s causal powers
Analysis, Volume 59, Number 1 (January 1999) Pages 29-32
http://dx.doi.org/10.1111/1467-8284.00145
http://dx.doi.org/10.1093/analys/59.1.29
Thomas Weiss
Closing the Chinese Room
Ratio, Volume 3, Number 2 (December 1990) Pages 165-181
Reese M. Heitner
Book Review: “Views into the Chinese Room: New Essays on Searle
and Artificial Intelligence”
Minds and Machines, Volume 15, Number 1 (February 2005)
http://dx.doi.org/10.1007/BF03210002
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
John R. Searle
Chapter 3 The Turing Test: fifty-five years later
Chapter 4 Twenty-one years in the Chinese Room
Chapter 5 Is the brain a digital computer?
Philosophy in a New Century: Selected Essays
7 Features Great and Small
Figments of reality: The evolution of a curious mind
Ian Stewart and Jack Cohen
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Computational Creativity Research: Towards Creative Machines
Tarek R. Besold, Marco Schorlemmer, and Alan Small (Editors)
Springer, 2015, ISBN 978-94-6239-085-0
http://dx.doi.org/10.2991/978-94-6239-085-0
1 The Problem of Consciousness
Consciousness and Language
John R. Searle
10 The Chinese Room Argument
Josef Moural
John Searle
Barry Smith (Editor)
Making Consciousness Safe for Neuroscience
Andrew Brook
Cognition and the Brain:
The Philosophy and Neuroscience Movement
Andrew Brook and Kathleen Akins (Editors)
24 – Speed Bumps
Nils J. Nilsson
Chapter 6 Artificial Intelligence and Consciousness
Drew McDermott
The Cambridge Handbook of Consciousness
Philip David Zelazo, Morris Moscovitch, and Evan Thompson (Editors)
4 Minds and machines
Quantum Computing since Democritus
Scott Aaronson
2 – Representation in classical computational theories:
the Standard Interpretation and its problems
3 – Two notions of representation in the classical computational
framework
Representation Reconsidered
William M. Ramsey
16 – Learning from functionalism: prospects for strong artificial life
Elliott Sober
The Nature of Life:
Classical and Contemporary Perspectives from Philosophy and Science
Mark A. Bedau and Carol E. Cleland (Editors)
Expression and Meaning: Studies in the Theory of Speech Acts
John R. Searle
John Searle’s Philosophy of Language: Force, Meaning, and Mind
Savas L. Tsohatzidis (Editor)
1 Language and Social Ontology
John R. Searle
1 – Comment - De Rerum Natura:
Dragons of Oliviousness and the Science of Social Ontology
Mark Turner
Philosophy of the Social Sciences:
Philosophical Theory and Scientific Practice
C. Mantzavinos (Editor)
The Explanation of Cognition
John R. Searle
Thought and Language
John Preston (Editor)
6 - Metaphor
John R. Searle
Metaphor and Thought, Second Edition
Andrew Ortony (Editor)
=======================================
Debates in AI: the CRA Continues ==========
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
John R. Searle
The Chinese Room Argument
(2006)
http://dx.doi.org/10.1002/0470018860.s00159
Encyclopedia of Cognitive Science
Lynn Nadel (Editor-in-Chief)
http://dx.doi.org/10.1002/0470018860
Interview by Paul Almond
Machines Like Us (15 March 2009)
http://machineslikeus.com/interviews/machines-us-interviewsjohn-searle-0
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Jason Ford
Hellen Keller Was Never in a Chinese Room
Minds and Machines, Volume 21, Number 1 (Febrauary2011)
http://dx.doi.org/10.1007/s11023-010-9220-0
Shaun Gallagher
The Key to the Chinese Room
Pages 87-96
http://dx.doi.org/10.1007/978-1-4020-9992-2_5
After Cognitivism: A Reassessment of Cognitive Science and
Philosophy
Karl Leidlmair (Editor)
Springer, 2009, ISBN 978-1-4020-9992-2
http://dx.doi.org/10.1007/978-1-4020-9992-2
Robert Klee
Physical Scale Effects and Philosophical Thought Experiments
Metaphilosophy, Volume 39, Number 1 (January 2008)
http://dx.doi.org/10.1111/j.1467-9973.2008.00526.x
Slawomir J. Nasuto, John Mark Bishop,
Etienne B. Roesch, and Matthew C. Spencer
Zombie Mouse in a Chinese Room
Philosophy & Technology (February 2014)
http://dx.doi.org/10.1007/s13347-014-0150-2
Michel John Shaffer
A Logical Hole in the Chinese Room
Minds and Machines, Volume 19 Number 2 (May 2009)
http://dx.doi.org/10.1007/s11023-009-9151-9
Symbolism, embodied cognition, and the broader debate
Lawrence Shapiro
http://dx.doi.org/10.1093/acprof:oso/9780199217274.003.0004
Symbols and embodiment: Debates on meaning and cognition
Manuel de Vega, Arthur Glenberg, and Arthur Graesser (Editors)
Jerome C. Wakefield
The Chinese Room Argument Reconsidered:
Essentialism, Indeterminacy, and Strong AI
http://dx.doi.org/10.1023/A%3A1022947527614
=======================================
Debates in AI: The Emperor’s New Mind ====
=======================================
Precis of The Emperor’s New Mind: Concerning
computers, minds, and the laws of physics
Roger Penrose
*** includes 37 commentaries and Authors Response ***
http://dx.doi.org/10.1017/S0140525X00080675
24 – Speed Bumps
Nils J. Nilsson
=======================================
Debates in AI: Singularity Hypotheses ======
Singularity Hypotheses:
A Scientific and Philosophical Assessment
Amnon H. Eden, James H. Moor, Johnny H. Soraker,
and Eric Steinhart (Editors)
Springer, 2012, ISBN 978-3-642-32560-1
http://dx.doi.org/10.1007/978-3-642-32560-1
Special Report: The Singularity
IEEE Spectrum, Volume 45, Number 6 (June 2008)
www.spectrum.ieee.org/jun08/singularityspecialreport
Book Review and Discussions –
“The Singularity is Near: When Humans Transcend Biology”
Robert U. Ayres; Ted Gordon; Theodore Modis;
Tesseleno C. Devezas; Joseph F. Coates
Technological Forecasting and Social Change,
How many singularities are near and how will they disrupt
human history?
Christopher L. Magee and Tessaleno C. Devezas
Technological Forecasting and Social Change,
http://dx.doi.org/10.1016/j.techfore.2011.07.013
10 Connecting Patterns
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber
=5396690&
Connections: Patterns of Discovery
H.Peter Alesso and Craig F. Smith
Wiley-IEEE Press, 2008, ISBN 9780470191538
http://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=536100
9
A Law of Acceleration
http://www.bartleby.com/159/34.html
The Education of Henry Adams
Henry Adams
http://www.bartleby.com/159/
Wikipedia:
http://en.wikipedia.org/wiki/Henry_Adams
http://en.wikipedia.org/wiki/The_Education_of_Henry_Adams
Darwin among the Machines
Samuel Butler
Letter to the Editor of the Press, Christchursh,
New Zealand, 13 June, 1863
http://nzetc.victoria.ac.nz/tm/scholarly/tei-ButFir-t1-g1-t1-g1t4-body.html
Erewhon: or, Over the Range
Samuel Butler (1872)
http://nzetc.victoria.ac.nz/tm/scholarly/tei-ButErew.html
Wikipedia:
http://en.wikipedia.org/wiki/Samuel_Butler_(novelist)
http://en.wikipedia.org/wiki/Erewhon
Surfing The Singularity: Damien Broderick
Amara D. Angelica (May 18, 2001)
http://www.kurzweilai.net/surfing-the-singularity-damienbroderick
The Encyclopedia of Science Fiction:
http://www.sf-encyclopedia.com/entry/broderick_damien
The Singularity: A Philosophical Analysis
David J. Chalmers
Journal of Consciousness Studies,
http://consc.net/papers/singularity.pdf
Response to “The Singularity: A Philosophical Analysis”
Drew McDermott
http://www.cs.yale.edu/homes/dvm/papers/chalmerssingularity-response.pdf
The Singularity: A Reply
David J. Chalmers
http://consc.net/papers/singreply.pdf
Kurzweil’s argument for the success of AI
Drew McDermott
Human-level artificial general intelligence and the
possibility of technological singularity
A reaction to Ray Kurzweil’s The Singularity is Near,
and McDermott’s critique of Kurzweil
Ben Goertzel
Radical Evolution: The Promise and Peril of Enhancing Our
Minds, Our Bodies – and What It Means to Be Human
Joel Garreau
Book Discussion (June 18, 2005)
http://www.c-spanvideo.org/program/187311-1
The Future of Humankind:
Scenarios from heaven to hell, with stops along the way
Nick Bostrom
Scientific American (June 27, 2005)
http://www.scientificamerican.com/article.cfm?id=the-futureof-humankind&print=true
The Human-Techno Future: How Weird? How Soon?
Sean Markey
National Geographic News (August 3, 2005)
http://news.nationalgeographic.com/news/pf/76612590.html
Ethical guidelines for a superintelligence
Ernst Davis
Artificial Intelligence, Volume 220 (March 2015)
Speculations Concerning the First Ultraintelligent Machine
Irving John Good
http://dx.doi.org/10.1016/S0065-2458(08)60418-0
Advances in Computers, Volume 6
Franz L. Alt and Morris Rubinoff (Editors)
Elsevier, 1966, ISBN 978-0-12-012106-9
If uploads come first: The crack of a future dawn
Robin Hanson (March 8, 1994)
http://philpapers.org/rec/HANIUC
Chales S. Pierce’s Evolutionary Philosophy
Carl R. Hausman
Why the future doesn’t need us.
Bill Joy
Wired Magazine (April 2000)
http://www.wired.com/wired/archive/8.04/joy_pr.html
When will computer hardware match the human brain?
Hans Moravec
http://www.transhumanist.com/volume1/moravec.htm
Journal of Evolution and Technology, Volume 1 (1988)
Ray Kuezweil and Uploading: Just Say No!
Nicholas Agar
Journal of Evolution and Technology,
http://jetpress.org/v22/agar.htm
Intelligence Unbound: The Future of Uploaded and Machine
Minds
Russell Blackford and Damien Broderick (Editors)
Wiley, 2014, ISBN 9781118736302
http://dx.doi.org/10.1002/9781118736302
Teilhard de Chardin and Transhumanism
Eric Steinhard
Journal of Evolution and Technology,
http://jetpress.org/v20/steinhart.htm
Thinking Inside the Box: Controlling and Using an Oracle AI
Stuart Armstrong, Anders Sandberg, and Nick Bostrom
Minds and Machines,
http://dx.doi.org/10.1007/s11023-012-9282-2
The Nexus Between Artificial Intelligence and Economics
Ad J. W. van de Gevl and Charles N. Noussair
Springer, 2013, ISBN 978-3-642-33648-5
http://dx.doi.org/10.1007/978-3-642-33648-5
The Transhumanist Reader:
Classical and Contemporary Essays on the Science,
Technology, and Philosophy of the Human Future
Max More and Natasha Vita-More (Editors)
Wiley, 2013, ISBN 9781118555927
http://dx.doi.org/10.1002/9781118555927
What Sort of People Should There Be? –
Genetic Engineering, Brain Control and their Impact on
Our Future World
Jonathan Glover
Penguin Books (1984)
**** Scroll to the bottom of the screen
and click on the PDF icon ************
http://www.jonathanglover.co.uk/books/what-sort-of-peopleshould-there-be
Home Page of Jonathan Glover
http://www.jonathanglover.co.uk/
Transhumanism and Society:
The Social Debate over Human Enhancement
Stephen Lilley
Springer, 2013, ISBN 978-94-007-4981-8
http://dx.doi.org/10.1007/978-94-007-4981-8
Humanity+ (Transhumanism portal)
http://humanityplus.org/
Wikipedia: Transhumanism
http://en.wikipedia.org/wiki/Transhumanism
=======================================
Thoughts, Ideas, Opinions, and Surveys =====
The Cambridge Handbook of Artificial Intelligence
Algorithmic Aspects of Analysis, Prediction, and Control in
Science and Engineering:
An Approach Based on Symmetry and Similarity
Jaime Nava and Vladik Kreinivich
Springer, 2015, ISBN 978-3-662-44955-4
http://dx.doi.org/10.1007/978-3-662-44955-4
The Man Who Would Teach Machines to Think
James Somers
http://www.theatlantic.com/magazine/archive/2013/11/the-manwho-would-teach-machines-to-think/309529/
Beyond Artificial Intelligence:
Contemplations, Expectations, Applications
Josef Kelemen, Jan Romportl, and Eva Zackova (Editors)
Springer, 2013, ISBN 978-3-642-34422-0
http://dx.doi.org/10.1007/978-3-642-34422-0
Abstraction in Artificial Intelligence and Complex Systems
Lorenza Saitta and Jean-Daniel Zucker
Springer, 2013, ISBN 978-1-4614-7052-6
http://dx.doi.org/10.1007/978-1-4614-7052-6
Artificial Intelligence and Creativity: An Interdisciplinary Approach
Terry Dartnall (Editor)
Springer, 1994, ISBN 978-94-017-0793-0
http://dx.doi.org/10.1007/978-94-017-0793-0
Creativity at the Metalevel: AAAI-2000 Presidential Address
Bruce G. Buchanan
Richard Feynman Computer Heuristics Lecture
http://www.youtube.com/watch?v=EKWGGDXe5MA
Chapter 1 The Goal of Artificial Intelligence
http://dx.doi.org/10.1007/1-4020-5045-3_1
Chapter 2 A New Approach Toward AI
http://dx.doi.org/10.1007/1-4020-5045-3_2
Rigid Flexibility: The Logic of Intelligence
Pei Wang
Springer, 2006, ISBN 978-1-4020-5045-9
http://dx.doi.org/10.1007/1-4020-5045-3
Fifty Years of Research in Artificial Intelligence
Hamid R. Ekbia
Pages 201-242
Annual Review of Information Science and Technology,
http://dx.doi.org/10.1002/aris.2010.1440440112
Knowledge Needs and Information Extraction:
Towards an Artificial Intelligence
Nicolas Turenne
Wiley, 2013, ISBN 9781118574560
http://dx.doi.org/10.1002/9781118574560
Next Generation Knowledge Machines: Design and Architecture
Syed V. Ahamed
Elsevier, 2014, ISBN 978-0-12-416629-5
Universal Intelligence: A Definition of Machine Intelligence
Shane Legg and Marcus Hutter
Pages 391-444
Minds and Machines, Volume 17, Number 4 (December 2007)
http://dx.doi.org/10.1007/s11023-007-9079-x
How Artificial Is Intelligence?
W. R. Bennett, Jr.
American Scientist,
Volume 65, Number 6 (November-December 1977) Pages 694-702
Intelligence: New Findings and Theoretical Developments
Richard E. Nisbett et al.
Pages 130-159
American Psychologist, Volume 67, Number 2 (February-March 2012)
http://dx.doi.org/10.1037/a0026699
Bridges between Diagnosis Theories from Control and AI Perspectives
L. Trave-Massuyes
Pages 2-28
http://dx.doi.org/10.1007/978-3-642-39881-0_1
Intelligent Systems in Technical and Medical Diagnostics
Josef Korbicz and Marek Kowal (Editors)
Springer, 2014, ISBN 978-3-642-39881-0
http://dx.doi.org/10.1007/978-3-642-39881-0
Your Virtual Butler: The Making-of
Robert Trappl (Editor)
Springer, 2013, ISBN 978-3-642-37346-6
http://dx.doi.org/10.1007/978-3-642-37346-6
The Intuitive Algorithm
Abraham Thomas
http://archive.gamedev.net/archive/reference/articles/a
rticle770.html
Game Developer Community
http://www.gamedev.net/page/index.html
Expertise and Intuition: A Tale of Three Theories
Fernand Gobet and Philippe Chassy
Pages 151-180
Minds and Machines Volume 19, Number 2 (May 2009)
http://dx.doi.org/10.1007/s11023-008-9131-5
Problem Solving and Human Expertise
T J Nokes, C D Schunn, and M T H Chi
Pages 265-272
http://dx.doi.org/10.1016/B978-0-08-044894-7.00486-3
International Encyclopedia of Education, Third Edition
Penelope Peterson, Eva Baker, and Barry McGaw (Editors-in Chief)
Elsevier, 2010, ISBN 978-0-08-044894-7
http://www.sciencedirect.com/science/referenceworks/978008044894
7
Is It Possible to Construct a Perception Machine?
Gerald M. Edelman and George N. Reeke, Jr.
Proceedings of the American Philosophical Society
http://www.jstor.org/stable/pdfplus/3143904.pdf?acceptTC=true
Planning Algorithms
Steven M. LaValle
Cambridge University Press, 2006, ISBN 978-0-511-54687-7
**** Free ***************
http://planning.cs.uiuc.edu/
The Structure of Style:
Algorithmic Approaches to Understanding Manner and Meaning
Shlomo Argamon, Kevin Burns, and Shlomo Dubnov (Editors)
Springer, 2010, ISBN 978-3-642-12337-5
http://dx.doi.org/10.1007/978-3-642-12337-5
Multimodal Signal Processing: Human Interactions in Meetings
Steve Renals, Herve Bourlard, Jean Carletta,
and Andrei Popescu-Belis (Editors)
Toward Artificial Sapience: Principles and Methods for Wise Systems
Rene V. Mayoga and Leonid I. Pelovsky (Editors)
Springer, 2008, ISBN 978-1-84628-999-6
http://dx.doi.org/10.1007/978-1-84628-999-6
Intelligent Computing Everywhere
Alfons J. Schuster (Editor)
Springer, 2007, ISBN 978-1-84628-943-9
http://dx.doi.org/10.1007/978-1-84628-943-9
Intelligent Systems and Signal Processing in Power Engineering
Abhisek Ukil
Springer, 2007, ISBN 978-3-540-73170-2
http://dx.doi.org/10.1007/978-3-540-73170-2
Collaboratively built semi-structured content and Artificial
Intelligence:
The story so far
Pages 2-27
Eduard Hovy, Roberto Navigli, and Simone Paolo Ponzetto
Artificial Intelligence, Wikipedia and Semi-Structured Resources
(special issue)
Artificial Intelligence, Volume 194 (January 2013)
http://www.sciencedirect.com/science/journal/00043702/194/supp/C
Preferences in AI: An Overview
Carmel Domshlak, Eyke Hullermeier, Souhila Kaci, and Henri Prade
Representing, Processing, and Learning Preferences (special issue)
Volume 175, Issues 7-8 (May 2011) Pages 1037-1052
A Short Introduction to Preferences:
Between Artificial Intelligence and Social Choice
Francesca Rossi, Kristen Brent Venable, and Toby Walsh
From the Semantic Web to social machines:
A research challenge for AI on the World Wide Web
Jim Handler and Tim Berners-Lee Pages 156-161
Artificial Intelligence, Volume 174, Issue 2 (February 2010)
Creating Internet Intelligence: Wild Computing, Distributed Digital
Consciousness, and the Emerging Global Brain
Ben Goertzel
Springer, 2002, ISBN 978-1-4615-0561-7
http://dx.doi.org/10.1007/978-1-4615-0561-7
Odd man out: Reply to reviewers
Margaret A. Boden
Pages 1944-1964
Artificial Intelligence, Volume 172, Issue 18 (December 2008)
Universe, Human Immortality and Future Human Evolution
Alexander A. Bolonkin
Elsevier, 2012, ISBN 978-0-12-415801-6
The Computer Revolution in Philosophy:
Philosophy, science and models of mind
Aaron Sloman
Harvester Press, 1978 (with online additions)
http://www.cs.bham.ac.uk/research/projects/cogaff/crp/
How Are the Sciences of Complex Systems Possible?
Michael Strevens
Pages 531-556
Philosophy of Science, Volume 72, Number 4 (October 2005)
http://www.jstor.org/stable/10.1086/505471
Ayurveda for agents: an attempt to bring the sciences of
natural and artificial intelligence closer together
Rogier M. van Eijk
Pages 31-33
Volume 26, Issue 1 (2011, 25th Anniversary Issue)
http://dx.doi.org/10.1017/S026988891000038X
Cognitive Communications: Distributed Artificial Intelligence (DAI),
Regulatory Policy & Economics, Implementation
David Grace and Honggang Zhang (Editors)
Wiley, 2012, ISBN 9781118360316
http://dx.doi.org/10.1002/9781118360316
Information from Processes:
About the Nature of Information Creation, Use, and Representation
Robert M. Losee
Springer, 2012, ISBN 978-3-642-31190-1
http://dx.doi.org/10.1007/978-3-642-31190-1
Incomplete Information System and Rough Set Theory:
Models and Attribute Reductions
Xibei Yang and Jingyu Yang
Springer, 2012, ISBN 978-3-642-25935-7
http://dx.doi.org/10.1007/978-3-642-25935-7
Rough Sets and Intelligent Systems –
Professor Zdzislaw Pawlak in Memoriam, Volume 1
Andrzej Skowron and Zbigniew Suraj (Editors)
Springer, 2013, ISBN 978-3-642-30344-9
http://dx.doi.org/10.1007/978-3-642-30344-9
Structural Information Theory: The Simplicity of Visual Form
Emanuel Leeuwenberg and Peter A. van der Helm
Solution approaches to the course timetabling problem
S.A. MirHassani and F. Habibi
Artificial Intelligence Review, Volume 39, Number 2 (February 2013)
http://dx.doi.org/10.1007/s10462-011-9262-6
=======================================
AI and Game Theory ====================
Thinking Backward with Professor Zermelo
Michael Wooldridge
Volume 30, Number 2 (March-April 2015)
http://dx.doi.org/10.1109/MIS.2015.36
=======================================
Argumentation in AI ====================
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Chapter 1 Argumentation Theory: A Very Short Introduction
Douglas Walton
http://dx.doi.org/10.1007/978-0-387-98197-0_1
Chapter 19 The Argument Interchange Format
Iyad Rahwan and Chris Reed
http://dx.doi.org/10.1007/978-0-387-98197-0_19
Argumentation in Artificial Intelligence
Iyad Rahwan and Guillermo R. Simari (Editors)
Springer, 2009, ISBN 978-0-387-98197-0
http://dx.doi.org/10.1007/978-0-387-98197-0
Agreement Technologies
Sascha Ossowski (Editor)
Springer, 2013, ISBN 978-94-007-5583-3
http://dx.doi.org/10.1007/978-94-007-5583-3
Methods for solving reasoning problems in abstract
argumentation –
A survey
Gunther Charwat, Wolfgang Dvorak, Sarah A. Gaggl,
Johannes P. Wallner, and Stefan Woltran
Artificial Intelligence, Volume 220 (March 2015)
Implementing the Argument Web
Floris Bex, John Lawrence, Mak Snaith, and Chris Reed
http://dx.doi.org/10.1145/2500891
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Argumentation in Artificial Intelligence (special issue)
Volume 171, Numbers 10-15 (July-October 2007)
http://www.sciencedirect.com/science/journal/00043702/171/
10
Argumentation in Multi-Agent Systems:
Fifth International Workshop, ArgMAS 2008
Iyad Rahwan and Pavlos Moraitis (Editors)
http://dx.doi.org/10.1007/978-3-642-00207-6
Burden of Proof, Presumption and Argumentation
Douglas Walton
The Concept of Argument: A Philosophical Foundation
Harald R. Wohlrapp
Springer, 2014, ISBN 978-94-017-8762-8
http://dx.doi.org/10.1007/978-94-017-8762-8
A domain specific language for describing diverse systems of
dialogue
S. Wells and C.A. Reed
Journal of Applied Logic, Volume 10 (2012)
http://dx.doi.org/10.1016/j.jal.2012.09.001
Mass argumentation and the semantic web
Iyad Rahwan
Web Semantics, Volume 6, Number 1 (February 2008)
http://dx.doi.org/10.1016/j.websem.2007.11.007
Mediating debate through on-line large-scale argumentation:
Evidence from the field
Ali Gurkan, Luca Iandoli, Mark Klein, and Giuseppe Zollo
Information Sciences, Volume 180, Number 19 (2010)
http://dx.doi.org/10.1016/j.ins.2010.06.011
A Planning-Based Approach for Enacting World Wide
Argument Web
Ioan Alfred Letia and Adruian Groza
http://dx.doi.org/10.1007/978-3-540-85257-5_14
Intelligent Distributed Computing, Systems and Applications:
IDC 2008
Costin Badica, Giuseooe Mangioni, Vincenza Carchiolo,
and Dumitru Dan Burdescu
Springer, 2008, ISBN 978-3-540-85257-5
http://dx.doi.org/10.1007/978-3-540-85257-5
A Systematic Theory of Argumentation:
The pragma-dialectical approach
Frans H. van Eemeren and Rob Grootendorst
=======================================
Asimov’s Laws, Humanlike Robots, and Ethics
=======================================
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
I, Robot
Isaac Asimov
http://www.angelfire.com/un/corosus/
Asimov’s Laws of Robotics:
Implications for Information Technology, Part 1
Roger Clarke
IEEE Computer, Volume 26, Number 12 (December 1993)
http://dx.doi.org/10.1109/2.247652
Asimov’s Laws of Robotics:
Implications for Information Technology, Part 2
Roger Clarke
IEEE Computer, Volume 27, Number 1 (January 1994)
http://dx.doi.org/10.1109/2.248881
Asimovian Adaptive Agents
Diana F. Gordon
Journal of Artificial Intelligence Research, Volume 13 (2000)
https://dx.doi.org/10.1613/jair.720
Beyond Asimov: The Three Laws of Responsible Robotics
Robin R. Murphy and David D. Woods
Volume 24, Number 4 (July-August 2009)
http://dx.doi.org/10.1109/MIS.2009.69
Towards Safe Robots: Approaching Asimov’s 1st Law
Sami Haddadin
Springer, 2014, ISBN 978-3-642-40308-8
http://dx.doi.org/10.1007/978-3-642-40308-8
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Artificial living beings and robots: one root, variety of
influences
Jana Horakova and Jozef Kelemen
Artificial Life and Robotics,
http://dx.doi.org/10.1007/s10015-008-0502-z
The Coming Robot Revolution: Expectations and Fears About
Emerging Intelligent, Humanlike Machines
Yoseph Bar-Cohen, David Hanson, and Adi Marom
Springer, 2009, ISBN 978-0-387-85349-9
http://dx.doi.org/10.1007/978-0-387-85349-9
Cybernics: Fusion of human, machine and information
systems
Yosiyuki Sankai, Kenji Suzuki, and Yasuhisa Hasegawa (Editors)
Springer, 2014, ISBN 978-4-431-54159-2
http://dx.doi.org/10.1007/978-4-431-54159-2
Human-Robot Personal Relationship:
Third international Conference, HRPR 2010,
Revised Selected Papers
Maarten H. Lamers and Fons J. Verbeek (Editors)
Springer, 2011, ISBN 978-3-642-19385-9
http://dx.doi.org/10.1007/978-3-642-19385-9
Machine Ethics
Michael Anderson and Susan Leigh Anderson (Editors)
Machine Medical Ethics
Simon Peter van Rysewyk and Matthijs Pontier (Editors)
Springer, 2015, ISBN 978-3-319-08108-3
http://dx.doi.org/10.1007/978-3-319-08108-3
Machine Morality and Human Responsibility
Charles T. Rubin
The New Atlantis (Summer 2011)
http://www.thenewatlantis.com/publications/machinemorality-and-human-responsibility
The Problem with ‘Friendly’ Artificial Intelligence
Adam Kelper and Ari N. Schulman
The New Atlantis (Summer 2011)
http://www.thenewatlantis.com/publications/the-problemwith-friendly-artificial-intelligence
Social Robots from a Human Perspective
Jane Vincent, Sakari Taipale, Bartolomeo Aapio,
Giuseppe Lugano, and Leopoldina Fortunati (Editors)
Springer, 2015, ISBN 978-3-319-15672-9
http://dx.doi.org/10.1007/978-3-319-15672-9
Till Malfunction Do Us Part
Caitrin Nicol
http://www.thenewatlantis.com/publications/till-malfunctiondo-us-part
=======================================
Robotics ==============================
Advanced Theory of Constraint and Motion Analysis for Robot
Mechanisms
Jingshan Zhao, Zhijing Feng, Fulei Chu, and Ning Ma
Elsevier, 2014, ISBN 978-0-12-420162-0
Cybernics: Fusion of human, machine and information
systems
Yosiyuki Sankai, Kenji Suzuki, and Yasuhisa Hasegawa (Editors)
Springer, 2014, ISBN 978-4-431-54159-2
http://dx.doi.org/10.1007/978-4-431-54159-2
Practical Field Robotics: A Systems Approach
Robert H. Sturges, Jr
Wiley, 2015, ISBN 9781118941171
http://dx.doi.org/10.1002/9781118941171
Introduction to Robotics
Tadej Bajd, Matjaz Mihelj, and Marko Munih
Springer, 2013, ISBN 978-94-007-6101-8
http://dx.doi.org/10.1007/978-94-007-6101-8
Creation of a Conscious Robot:
Mirror Image Cognition and Self-Awareness
Junichi Takeno
CRC Press, 2013, ISBN 978-981-4364-50-8
Robotics
Tadej Bajd, Matjaz Mihelj, Jadran Lenarcic, Ales Stanovnik,
and Marko Munih
Springer, 2010, ISBN 978-90-481-3776-3
http://dx.doi.org/10.1007/978-90-481-3776-3
Essential Principles for Autonomous Robotics
Henry Hexmoor
The Hand and the Brain:
Fom Lucy’s Thumb to the Thought-Controlled Robotic Hand
Goran Lundborg
Springer, 2014, ISBN 978-1-4471-5334-4
http://dx.doi.org/10.1007/978-1-4471-5334-4
The Human Hand as an Inspiration for Robot Hand
Development
Ravi Balasubramanian and Veronica J. Santos (Editors)
Springer, 2014, ISBN 978-3-319-03017-3
http://dx.doi.org/10.1007/978-3-319-03017-3
From Robot to Human Grasping Simulation
Beatriz Lopez, Antonio Morales, and Joaquin Sancho-Bru
Springer, 2014, ISBN 978-3-319-01833-1
http://dx.doi.org/10.1007/978-3-319-01833-1
Grasping in Robotics
Giuseppe Carbone (Editor)
Springer, 2013, ISBN 979-1-4471-4664-3
http://dx.doi.org/10.1007/978-1-4471-4664-3
The Playful Machine: Theoretical Foundation and
Practical Realization of Self-Organizing Robots
Ralf Der and Georg Martius
Springer, 2011, ISBN 978-3-642-20253-7
http://dx.doi.org/10.1007/978-3-642-20253-7
Vision and Touch
Irvin Rock and Charles S. Harris
Scientific American, Volume 216, Number 5 (May 1967)
http://www.nature.com/scientificamerican/journal/v216/n5/p
df/scientificamerican0567-96.pdf
Robotic Tactile Sensing: Technologies and System
Ravinder S. Dahiya and Maurizio Valle
Springer, 2013, ISBN 978-94-007-0579-1
http://dx.doi.org/10.1007/978-94-007-0579-1
Multi-finger Haptic Interaction
Ignacio Galiana and Manuel Ferre (Editors)
Springer, 2013, ISBN 978-1-4471-5204-0
http://dx.doi.org/10.1007/978-1-4471-5204-0
Robot Physical Interaction through the Combination of Vision,
Tactile and Force Feedback: Applications to Assistive Robotics
Mario Prats, Angel P. del Pobil, and Pedro J. Sanz
Springer, 2013, ISBN 978-3-642-33241-8
http://dx.doi.org/10.1007/978-3-642-33241-8
New Trends in Medical and Service Robots:
Theory and Integrated Applications
Doina Pisla, Hannes Bleuler, Aleksandar Rodic, Calin Vaida,
and Adrian Pisla (Editors)
Springer, 2014, ISBN 978-3-319-01592-7
http://dx.doi.org/10.1007/978-3-319-01592-7
Probabilistic Approaches for Robotic Perception
Joao Filipe Ferreira and Jorge Dias
Springer, 2014, ISBN 978-3-319-02006-8
http://dx.doi.org/10.1007/978-3-319-02006-8
Engineering Design: Representation and Reasoning,
Second Edition
Clive L. Dym and David C. Brown
Robotics, Vision and Control:
Fundamental Algorithms in MATLAB
Peter Corke
Springer, 2013, ISBN 978-3-642-20144-8
http://dx.doi.org/10.1007/978-3-642-20144-8
Neuromorphic and Brain-Based Robots
Jeffrey L. Krichmar and Hiroaki Wagatsuma (Editors)
Robots, Reasoning, and Reification
James P. Gunderson and Louise F. Gunderson
Springer, 2009, ISBN 978-0-387-87488-3
http://dx.doi.org/10.1007/978-0-387-87488-3
On the Construction of Artificial Brains
Ulrich Ramacher Christph von der Malsburg (Editors)
Springer, 2010, ISBN 978-3-642-00189-5
http://dx.doi.org/10.1007/978-3-642-00189-5
Fundamentals of Robotic Mechanical Systems:
Theory, Methods, and Algorithms; Fourth Edition
Jorge Angeles
Springer, 2014, ISBN 978-3-319-01851-5
http://dx.doi.org/10.1007/978-3-319-01851-5
Theory of Applied Robotics:
Kinematics, Dynamics, and Control; Second Edition
Reza N. Jazar
Springer, 2010, ISBN 978-1-4419-1750-8
http://dx.doi.org/10.1007/978-1-4419-1750-8
Mobile Robotics: Mathematics, Models, and Methods
Alonzo Kelly
Introduction to Mobile Robot Control
Spyros G. Tzafestas
Elsevier, 2014, ISBN 978-0-12-417049-0
Mobile Robotics for Multidisciplinary Study
Carlotta A.Berry
http://dx.doi.org/10.2200/S00407ED1V01Y201203CRM004
Learning Motor Skills: From Algorithms to Robot Experiments
Jens Kober and Jan Peters
Springer, 2014, ISBN 978-3-319-03194-1
http://dx.doi.org/10.1007/978-3-319-03194-1
Analysis and Design of Machine Learning Techniques:
Evolutionary Solutions for Regression, Prediction, and Control
Problems
Patrick Stalph (PhD Thesis, University of Tubingen, 2013)
Springer, 2014, ISBN 978-3-658-04937-9
http://dx.doi.org/10.1007/978-3-658-04937-9
Robot Behaviour: Design, Description, Analysis and Modelling
Ulrich Nehmzow
Springer, 2009, ISBN 978-1-84800-397-2
http://dx.doi.org/10.1007/978-1-84800-397-2
Cognitive Systems
Henrik Iskov Christensen, Geert-Jan M. Kruijff,
and Jeremy L. Wyatt (Editors)
Springer, 2010, ISBN 978-3-642-11694-0
http://dx.doi.org/10.1007/978-3-642-11694-0
Special corner on “cognitive robotics”
Stefan Kopp and Jochen J. Steil
Cognitive Processing, Volume 12, Number 4 (November 2011)
http://dx.doi.org/10.1007/s10339-011-0415-y
Robot Tool Behavior:
A Developmental Approach to Autonomous Tool Use
Alexander Stoytchev
PhD Thesis, Georgia Institute of Technology, 2007
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quence=1
Learning like a baby: a survey of artificial intelligence
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Frank Guerin
http://dx.doi.org/10.1017/S0269888911000038
Springer Handbook of Robotics
Bruno Siciliano and Oussama Khatib (Editors)
Springer, 2008, ISBN 978-3-540-30301-5
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The Dynamic Structure of Everyday Life
Philip E. Agre
PhD Thesis, MIT, 1988
http://dspace.mit.edu/handle/1721.1/6975
Structural Synthesis of Parallel Robots - Part 1: Methodology
Grigore Gogu
Springer, 2008, ISBN 978-1-4020-5710-6
http://dx.doi.org/10.1007/978-1-4020-5710-6
Structural Synthesis of Parallel Robots - Part 2:
Translational Topologies with Two and Three Degrees of
Freedom
Grigore Gogu
Springer, 2009, ISBN 978-1-4020-9794-2
http://dx.doi.org/10.1007/978-1-4020-9794-2
Topologies with planar motion of the moving platform
Grigore Gogu
Springer, 2010, ISBN 978-90-481-9831-3
http://dx.doi.org/10.1007/978-90-481-9831-3
Other Topologies with Two and Three Degrees of Freedom
Grigore Gogu
Springer, 2012, ISBN 978-90-481-9831-3
http://dx.doi.org/10.1007/978-94-007-2675-8
Basic Overconstrained Topologies with Schonflies Motions
Grigore Gogu
Springer, 2044, ISBN 978-90-007-7401-8
http://dx.doi.org/10.1007/978-94-007-7401-8
=======================================
History of AI ===========================
Alan Turing: His Work and Impact
S. Barry Cooper and Jan van Leeuwen (Editors)
Elsevier, 2013, ISBN 978-0-12-386980-7
Alan Turing: Life and Legacy of a Great Thinker
Christof Teuscher (Editor)
Springer, 2004, ISBN 978-3-662-05642-4
http://dx.doi.org/10.1007/978-3-662-05642-4
Alan Turing: Father of the Modern Computer
B. Jack Copeland and Diane Proudfoot
The Rutherford Journal – The New Zealand Journal for the
History and Philosophy of Science and Technology, Volume 4
(2011-2012)
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The Turing Archive for the History of Computing
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The Turing Digital Archive
http://turingarchive.org/
Turing and the Origins of AI
Stuart Shanker
http://dx.doi.org/10.1007//0-387-28272-6_12
Mathematics and the Historian’s Craft: The Kenneth O. May Lectures
Glen Van Brummelen and Michael Kinyon (Editors)
Springer, 2005, ISBN 978-0-387-28272-5
http://dx.doi.org/10.1007/0-387-28272-6
Standing on the Shoulders of a Giant
David Harel
http://dx.doi.org/10.1007/978-3-642-31585-5_3
Automata, Languages, and Programming:
ICALP 2012, Proceedings, Part II
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http://dx.doi.org/10.1007/978-3-642-31585-5
Standing on the Shoulders of a Giant:
One Person’s Experience of Turing’s Impact
David Harel
Informatics Forum, The University of Edinburgh (May 2012)
http://www.youtube.com/watch?v=7kIWeDt3p1w
Princeton University (May 2012)
http://www.youtube.com/watch?v=J3lst46sEsQ
The Strange Life and Death of Dr Turing (documentary)
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http://www.youtube.com/watch?v=5LHFzNMgWzw Part 2 of 2
The Discovery of the Artificial:
Behavior, Mind and Machines Before and Beyond Cybernetics
Roberto Cordeschi
Springer, 2002, ISBN 978-94-015-9870-5
http://dx.doi.org/10.1007/978-94-015-9870-5
Readings in Cognitive Science:
A Perspective from Psychology and Artificial Intelligence
Allan Collins and Edward E. Smith
Elsevier, 1988, ISBN 978-1-4832-1446-7
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Herbert A. Simon
A critique of pure reason
Drew McDermott
Logic versus logicism: a reply to McDermott
Kenneth D. Forbes
Commentary on McDermott
John McCarthy and Vladimir Lifschitz
Computational Intelligence,
Against Logicist Cognitive Science
Mike Oaksford and Nick Chater
Mind & Language, Volume 6, Number 1 (March 1991)
Artificial Intelligence: The Very Idea
John Haugeland
MIT Press, 1985
*** Large PDF (42+ MB), some pages not displayed ***
http://lolita.unice.fr/~scheer/cogsci/Haugeland%2089%20%20Artificial%20intelligence.pdf
=======================================
Cognition
============================
Meet Your Mind:
A User’s Guide to the Science of Consciousness
http://ttbook.org/book/meet-your-mind-series
TTBOOK: to the best of our KNOWLEDGE
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A User’s Guide to the Mind
Caroline Williams
New Scientist, Volume 224, Issue 2989 (October 4, 2014)
http://search.ebscohost.com/login.aspx?direct=true&db=n2h&
AN=98648610&site=ehost-live
The Emerging Science of Consciousness:
Mind, Brain, and the Human Experience (special issue)
Annals of the New York Academy of Sciences,
Volume 1303 (November 2013)
http://dx.doi.org/10.1111/nyas.2013.1303.issue-1
Perspectives on the Self:
Conversations on Identity and Consciousness (special issue)
Annals of the New York Academy of Sciences,
Volume 1234 (October 2011)
http://dx.doi.org/10.1111/nyas.2011.1234.issue-1
Mind, Body, World: Foundations of Cognitive Science
Michel R. W. Dawson
Au Press, 2013, ISBN 978-1-927356-18-0
http://www.aupress.ca/index.php/books/120227
Brain, Self and Consciousness:
Explaining the Conspiracy of Experience
Sangeetha Menon
Springer, 2014, ISBN 978-81-322-1581-3
http://dx.doi.org/10.1007/978-81-322-1581-3
Anthropology of the Brain: Consciousness, Culture, and Free Will
Roger Bartra
The Nature of Reasoning
Jacqueline P. Leighton and Robert J. Sternberg (Editors)
Dream Science: Exploring the Forms of Consciousness
J. F. Pagel
Elsevier, 2014, ISBN 978-0-12-404648-1
In the Theater of Consciousness: The Workspace of Mind
Bernard J. Baars
Artificial Cognition Architectures
James A. Crowder, John N. Carbone, and Shelli A. Friess
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http://dx.doi.org/10.1007/978-1-4614-8072-3
A Path to Advanced AGI via Embodied Learning and Cognitive Synergy
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The CogPrime Architecture for Integrative, Embodied AGI
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Framework
Britt M. Glatzeder, Vonod Goel, and Albrcht von Muller (Editors)
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Outline for a Theory of Intelligence
James A. Albus
IEEE Transactions on Systems, Man, and Cybernetics,
Volume 21, Number 3 (May/June 1991)
http://dx.doi.org/10.1109/21.97471
Handbook of Intelligence
Robert J. Sternberg (Editor)
The Joy of Visual Perception: A Web Book
Peter K. Keiser
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Simplicity in Vision: A Multidisciplinary Account of Perceptual
Organization
Peter A. van der Helm
1 Perception, Sensations and Cortical Function: Helmholtz to Singer
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History of Cognitive Neuroscience
M. R. Bennett and P. M. S. Hacker
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Circuits in the Brain:
A Model of Shape Processing in the Primary Visual Cortex
Charles R. Legendy
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http://dx.doi.org/10.1007/978-0-387-88849-1
Plasticity in Sensory Systems
Jennifer K. E. Stevens and Laurence R. Harris (Editors)
Introduction to the Senses: From Biology to Computer Science
Terry R.J. Bossomaier
Cognitive Techniques in Visual Data Interpretation
Lidia Ogiela and Marek R. Ogiela
Springer, 2009, ISBN 978-3-642-02693-5
http://dx.doi.org/10.1007/978-3-642-02693-5
The Cambridge Handbook of Consciousness
Philip David Zelazo, Morris Moscovich,
and Evan Thompson
Introduction: Computation and cognitive science
Mark Sprevak
Pages 223-226
http://dx.doi.org/10.1016/j.shpsa.2010.07.011
Special Issue: Computation and Cognitive Science
Studies in History and Philosophy of Science,
The Explanatory Role of Computation in Cognitive
Science
Nir Fresco
Pages 353-380
Minds and Machines, Volume 22, Number 4 (November 2012)
http://dx.doi.org/10.1007/s11023-012-9286-y
Physical Computation and Cognitive Science
Nir Fresco
Springer, 2014, ISBN 978-3-642-42375-9
http://dx.doi.org/10.1007/978-3-642-41375-9
Conscious Representations:
An Intractable Problem for the Computational Theory of Mind
Bartlomiej Swiatczak
Pages 19-32
Minds and Machines, Volume 21, Number 1 (February 2011)
http://dx.doi.org/10.1007/s11023-010-9214-y
Computationalism: Still the Only Game in Town
(A Reply to Swiatczak’s “Conscious Representations: An Intractable
Problem for the Computational Theory of Mind”)
David Davenport
Pages 183-190
Minds and Machines, Volume 22, Number 3 (August 2012)
http://dx.doi.org/10.1007/s11023-012-9271-5
Chapter 1 Cognitive Science: History, Techniques and Methodology
http://dx.doi.org/10.1007/978-3-642-40784-0_1
Prosopagnosia: When All Faces Look the Same
Davide Rivolta
Springer, 2014, ISBN 978-3-642-40784-0
http://dx.doi.org/10.1007/978-3-642-40784-0
The Mark of the Cognitive
Fred Adams and Rebecca Garrison
Pages 339-352
Minds and Machines, Volume 23, Number 3 (August 2013)
http://dx.doi.org/10.1007/s11023-012-9291-1
Reasoning About the Mark of the Cognitive:
A Response to Adams and Garrison
Andreas Elpidorou
Pages 201-211
http://dx.doi.org/10.1007/s11023-013-9319-1
The Mark of the Cognitive: Reply to Elpidorou
Fred Adams and Rebecca Garrison
Pages 213-216
http://dx.doi.org/10.1007/s11023-013-9336-0
Dictionary of Cognitive Science
http://www.bcp.psych.ualberta.ca/~mike/Pearl_Street/Dictionary/
The Cambridge Handbook of Cognitive Science
Handbook of Cognitive Science: An Embodied Approach
Paco Calvo and Toni Gomila (Editors)
Elsevier, 2008, ISBN 978-0-08-046616-3
6163
International Encyclopedia of the Social & Behavioral
Sciences
Neil J. Smelser and Paul B. Baltes (Editors-in-Chief)
Elsevier, 2001, ISBN 978-0-08-043076-8
http://www.sciencedirect.com/science/referenceworks/
9780080430768
Encyclopedia of Cognitive Science
http://dx.doi.org/10.1002/0470018860
History of Cognitive Neuroscience
M. R. Bennett and P. M. S. Hacker
Wiley, 2013, ISBN 9781118394267
http://dx.doi.org/10.1002/9781118394267
Origins of Mind
Liz Swan (Editor)
Springer, 2013, ISBN 978-94-007-5419-5
http://dx.doi.org/10.1007/978-94-007-5419-5
Measures of Consciousness
Elizabeth Irvine
Pages 285-297
Philosophy Compass, Volume 8, Number 3 (March 2013)
http://dx.doi.org/10.1111/phc3.12016
Seeking Chances:
From Biased Rationality to Distributed Cognition
Emanuele Bardone
Springer, 2011, ISBN 978-3-642-19633-1
http://dx.doi.org/10.1007/978-3-642-19633-1
Verbal Minds: Language and the Architecture of Cognition
Toni Gomila
Elsevier, 2012, ISBN 978-0-12-385200-7
Knowledge Needs and Information Extraction:
Towards an Artificial Consciousness
Nicolas Turenne
Wiley, 2013, ISBN 9781118574560
http://dx.doi.org/10.1002/9781118574560
Believable Bots: Can Computers Play Like People?
Philip Hingston (Editor)
Springer, 2012, ISBN978-3-642-32323-2
http://dx.doi.org/10.1007/978-3-642-32323-2
Introducing Psycholinguistics
Paul Warren
The Cambridge Handbook of Psycholinguistics
Michael J. Spivey, Ken McRae, and Marc F. Joanisse
(Editors)
Real and apparent biological inspiration in cognitive
architectures
Owen Holland et al.
Pages 105-116
Biologically Inspired Cognitive Architectures, Volume 3 (January 2013)
http://dx.doi.org/10.1016/j.bica.2012.07.008
Worlds as a unifying element of knowledge representation
Jonathan R. Scally, Nicholas L. Cassimatis, and Hiroyuki Uchida
Distributive Adaptive Control:
A Theory of the Mind, Brain, Body Nexus
Paul F.M.J. Verschure
Design principles for biologically inspired cognitive robotics
Jeffrey L. Krichmar
Toward a scientific foundation for engineering Cognitive Systems –
A European research agenda, its rationale and perspectives
Hans-Georg Stork
The next 50 years: A personal view
Patrick Henry Winston
On a roadmap for the BICA Challenge
Alexei V. Samsonovich
Biologically Inspired Cognitive Architectures,
Volume 1 (July 2012)
http://www.sciencedirect.com/science/journal/2212683X/1/supp/C
What can cognitive architectures do for robotics?
Unmesh Kurup and Christian Lebiere
Biologically Inspired Cognitive Architectures, Volume 2 (October 2012)
http://www.sciencedirect.com/science/journal/2212683X/2/supp/C
Biologically Inspired Cognitive Architectures 2012
Antonio Chella, Roberto Pirrone, Rosario Sorbello,
and Kamilla Run Johannsdottir (Editors)
Springer, 2013, ISBN 978-3-642-34274-5
http://dx.doi.org/10.1007/978-3-642-34274-5
How Virtual Machinery Can Bridge the “Explanatory
Gap”, in Natural and Artificial Systems
Aaron Sloman
Pages 13-24
http://dx.doi.org/10.1007/978-3-642-15193-4_2
From Animals To Animats 11, SAB2010
Stephane Doncieux et al. (Editors)
http://dx.doi.org/10.1007/978-3-642-15193-4
From Animals to Robots and Back:
Reflections on Hard Problems in the Study of Cognition
Jeremy L. Wyatt, Dean D. Peters, and David C. Hogg (Editors)
Springer, 2014, ISBN 978-3-319-06614-1
http://dx.doi.org/10.1007/978-3-319-06614-1
Cognitive Systems: Information Processing Meets Brain Science
Richard Morris, lionel Tarassenko, and Michael Kenward
Elsevier, 2005, ISBN 978-0-12-088566-4
Simulating the Mind: A Technical Neuropsychoanalytical Approach
Dietmar Dietrich, Georg Fodor, Gerhard Zucker,
and Dietmar Bruckner (eds.)
Springer, 2009, ISBN 978-3-211-09451-8
http://dx.doi.org/10.1007/978-3-211-09451-8
Charles R. Legendy
Springer, 2009, ISBN 978-0-387-88849-1
http://dx.doi.org/10.1007/978-0-387-88849-1
Empathy and Consciousness
Evan Thompson
Pages 1-32
Journal of Consciousness Studies, Volume 8, Numbers 5-7 (2011)
http://nyu.library.ingentaconnect.com/content/imp/jcs/2001/0000000
8/F0030005/1215
A philosophical assessment of computational models of consciousness
Selvi Elif Gok and Erdinc Sayan
Pages 49-62
Cognitive Systems Research, Volumes 17-18 (July-August 2012)
http://dx.doi.org/10.1016/j.cogsys.2011.11.001
Cortex special issue: Language and the motor system
Stefano F. Cappa and Friedemann Pulvermuller
Pages 785-787
http://dx.doi.org/10.1016/j.cortex.2012.04.010
Coming of age: A review of embodiment and the neuroscience of
semantics
Lotte Meteyard, Sara Rodriguez Cuadrado, Bahador Bahrami,
and Gabriella Vigliocco
Pages 788-804
Conceptual representations in mind and brain: Theoretical
developments, current evidence and future directions
Markus Kiefer and Friedemann Pulvermuller
Pages 805-825
Language and the Motor System (special issue)
Cortex, Volume 48, Number 7 (July-August 2012)
Foundations and New Paradigms of Brain Computing:
Past, Present, and Future
Stephen Grossberg
Pages 1-7
http://dx.doi.org/10.1007/978-3-642-23954-0_1
AI*IA 2011: Artificial Intelligence Around Man and Beyond
Roberto Pirrone and Filippo Sorbello (Editors)
Springer, 2011, ISBN 978-3-642-23954-0
http://dx.doi.org/10.1007/978-3-642-23954-0
Website of Stephen Grossberg
http://cns.bu.edu/~steve/
Cognition: What Does It Have to Do with the Brain?
Alexandra Geyer
Pages 55-59
http://dx.doi.org/10.1007/978-3-642-21852-1_7
The Evolution of Human Systems: A Brief Overview
Jeff Grubb and Joseph Cohn
Pages 60-66
http://dx.doi.org/10.1007/978-3-642-21852-1_8
The Influence of Culture on Memory Pages 67-76
Angela H. Gutchess, Aliza J. Schwartz, and Aysecan Boduroglu
http://dx.doi.org/10.1007/978-3-642-21852-1_9
Foundations of Augmented Cognition:
Directing the Future of Adaptive Systems, FAC 2011
Dylan D. Schmorrow and Cali M. Fidopiastis (Editors)
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Intuitions about consciousness: Experimental studies
Joshua Knobe and Jesse Prinz
http://dx.doi.org/10.1007/s11097-007-9066-y
Chapter 1 The Link Between Brain Learning,
Attention, and Consciousness
Stephen Grossberg
http://dx.doi.org/10.1007/978-90-481-3529-5_1
Causality, Meaningful Complexity and Embodied
Cognition
A. Carsetti (Editor)
Springer, 2010, ISBN 978-90-481-3529-5
http://dx.doi.org/10.1007/978-90-481-3529-5
The Brain’s Cognitive Dynamics;
The Link Between Brain Learning, Attention, and Consciousness
Stephen Grossberg
IHMC Florida Institute for Human Machine Cognition,
Evening Lecture Series (November 2006)
http://www.youtube.com/watch?v=6FNE4MnQ3QU
Causality, Probability, and Time
Samantha Kleinberg
Swarm Intelligence and Bio-Inspired Computation:
Xin-She Yang, Zhihua Cui, Renbin Xiao, Amir Hossein Gandomi,
and Mehmet Karamanoglu (Editors)
Elsevier, 2013, ISBN 978-0-12-405163-8
Chapter 1 Nature Is Lazy
William M. Spears
http://dx.doi.org/10.1007/978-3-642-22804-9_1
Phisicomimetics: Physics-Based Swarm Intelligence
William M. Spears and Diana F. Spears (Editors)
Springer, 2011, ISBN 978-3-642-22804-9
http://dx.doi.org/10.1007/978-3-642-22804-9
Swarm Cognition (special issue)
Swarm Intelligence, Volume 5, Number 1 (March 2011)
What Consciousness Is Not
Raymond Tallis
The New Atlantis, Fall 2011
http://www.thenewatlantis.com/publications/what-consciousness-isnot
Online Papers on Consciousness
http://consc.net/online/
Website of David Chalmers
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Cognitive Engineering:
A Distributed Approach to Machine Intelligence
Amit Konar and Lakhmi Jain
Springer, 2005, ISBN 978-1-84628-234-8
http://dx.doi.org/10.1007/1-84628-234-9
Consciousness as a Scientific Concept:
A Philosophy of Science Perspective
Elizabeth Irvine
Springer, 2013, ISBN 978-94-007-5173-6
http://dx.doi.org/10.1007/978-94-007-5173-6
Defining Cognitive Informatics Symposium
University of Vienna (January 11, 2011)
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sium/
DBLP: International Conference on Cognitive Informatics
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Papers on Cognitive Informatics and various other AI and software
areas
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Homepage of Professor Yingxu Wang
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Cognitive Modeling Greatest Hits –
List with links to the papers
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Cognition Beyond the Brain:
Computation, Interactivity and Human Artifice
Stephen J. Cowley and Frederic Vallee-Tourangeau (Editors)
Springer, 2013, ISBN 978-1-4471-5125-8
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Quantum Models of Cognition and Decision
Jerome R. Busemeyer and Peter D. Bruza
Science and Consciousness: Two Views of the Universe
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Elsevier, 1984, ISBN 978-0-08-028127-8
A Science of Mind: The Quest for Psychological Reality
Peter du Preez
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Cognition and Intelligence: Identifying the Mechanisms of the Mind
Robert J. Sternberg and Jean E. Pretz (Editors)
The Folk Psychology of Consciousness
Adam Arico, Brian Fiala, Robert F. Goldberg, and Shaun Nichols
Mind & Language, Volume 26, Number 3 (June 2011)
http://dx.doi.org/10.1111/j.1468-0017.2011.01420.x
=======================================
Cognitive Architecture ===================
The Architecture of the Mind
Peter Carruthers
1
=======================================
Embodied Cognition ====================
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
How to study the mind: An introduction to embodied
cognition
Michael L. Anderson (2005)
Eroding the Boundaries of Cognition: Implications of
Embodiment
Michael L Anderson, Michael J. Richardson,
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Embodied Cognition: A field guide
Michael L. Anderson
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Embodied artificial intelligence
Ron Chrisley
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Representations, symbols, and embodiment
Michael L. Anderson
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Six views of embodied cognition
Margaret Wilson
Psychonomic Bulletin & Review,
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Symbols and Embodiment: Debates on Meaning and Cognition
Manuel de Vega, Arthur Glenberg, and Arthur Graesser
(Editors)
1
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The brain has a body: adaptive behavior emerges from
interactions of nervous system, body and environment
Hillel J. Chiel and Randall D. Beer
Trends in Neurosciences,
Volume 20, Number 12 (1 December 1997)
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The Cambridge Handbook of Situated Cognition
Philip Robbins and Murat Aydede (Editors)
Computation and Human Experience
Philip E. Agre
Conscious machines:
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Susan A. J. Stuart
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Embodied cognition
Fred Adams
http://dx.doi.org/10.1007/s11097-010-9175-x
4E Cognition: Embodied, Embedded, Enacted, Extended
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In defence of embodied cognition:
a reply to Fred Adams
Christopher Letheby
http://dx.doi.org/10.1007/s11097-012-9263-1
Volume 11 Number 3 (September 2010)
Embodied Grounding:
Social, Cognitive, Affective, and Neuroscientific Approaches
Gun R. Semin and Eliot R. Smith (Editors)
Embodiment and Cognitive Science
Raymond W. Gibbs, Jr.
Grounding Cognition:
The Role of Perception and Action in Memory, Language, and
Thinking
Diane Pecher and Rolf A. Zwaan (Editors)
Handbook of Cognitive Science: An Embodied Approach
Paco Calvo and Toni Gomila (Editors)
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How to Build a Brain:
A Neural Architecture for Biological Cognition
Chris Eliasmith
1
The Innocent Eye: Why Vision Is Not a Cognitive Process
Nico Orlandi
1
Origins of Objectivity
Tyler Burge
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Situated and Embodied Cognition (special issue)
Cognitive Systems Research,
=======================================
What Can AI Get from Neuroscience? ======
Steve M. Potter
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Curious and Creative Machines
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Max Lungarella, Fumiya Iida, Josh Bongard,
and Rolf Pfeifer (Editors)
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Can a biologist fix a radio? –
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Yuri Lazebnik
Cancer Cell, Volume 2, Number 3 (September 2002)
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The Role of Area 17 in Visual Imagery:
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Mechanisms of memory stabilization and de-stabilization
C. M. Alberini, M. H. Milekic, and S. Tronel
Cellular and Molecular Life Sciences,
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Cristina M. Alberini
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Anthony J. Bell
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Polychronization: Computation with Spikes
Eugene M. Izhikevich
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Neural Computation, Volume 18, Number 2 (February 2006)
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Information Processing in Dendritic Trees
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Embodied Artificial Intelligence: International Seminar
Fumia Lida, Rolf Pfeifer, Luc Steels, and Yasuo Kuniyoshi (Editors)
Engines of the Brain:
The Computational Instruction Set of Human Cognition
Richard Granger
AI Magazine, Volume 27, Number 2 (2006)
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5
How Virtual Machinery Can Bridge the “Explanatory Gap”,
in Natural and Artificial Systems
Aaron Sloman
Pages 13-24
http://dx.doi.org/10.1007/978-3-642-15193-4_2
From Animals To Animats 11, SAB2010
Stephane Doncieux et al. (Editors)
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Cognitive Systems: Information Processing Meets Brain Science
Richard Morris, lionel Tarassenko, and Michael Kenward
Elsevier, 2005, ISBN 978-0-12-088566-4
Calculus of Thought:
Neuromorphic Logistic Regression in Cognitive Machines
Daniel M. Rice
Elsevier, 2014, ISBN 978-0-12-410407-5
Simulating the Mind:
A Technical Neuropsychoanalytical Approach
Dietmar Dietrich, Georg Fodor, Gerhard Zucker
and Dietmar Bruckner (Editors)
Springer, 2009, ISBN 978-3-211-09451-8
http://dx.doi.org/10.1007/978-3-211-09451-8
Charles R. Legendy
Springer, 2009, ISBN 978-0-387-88849-1
http://dx.doi.org/10.1007/978-0-387-88849-1
Visual Development, Third Edition
Nigel W. Daw
Springer, 2014, ISBN 978-1-4614-9059-3
http://dx.doi.org/10.1007/978-1-4614-9059-3
=======================================
Legal Matters ==========================
The Growing Gap Between Emerging Technologies and LegalEthical Oversight: The Pacing Problem
Gary E. Marchant, Braden R. Allenby, and Joseph R. Herkert
(Editors)
Springer, 2011, ISBN 978-94-007-1356-7
http://dx.doi.org/10.1007/978-94-007-1356-7
Human Law and Computer Law: Comparative Perspectives
Mireille Hildebrandt and Jeanne Gaakeer (Editors)
Springer, 2013, ISBN 978-94-007-6314-2
http://dx.doi.org/10.1007/978-94-007-6314-2
The Laws of Robots: Crimes, Contracts, and Torts
Ugo Pagallo
Springer, 2013, ISBN 978-94-007-6564-1
http://dx.doi.org/10.1007/978-94-007-6564-1
Liability for Crimes Involving Artificial Intelligence Systems
Gabriel Hallevy
Springer, 2015, ISBN 978-3-319-10124-8
http://dx.doi.org/10.1007/978-3-319-10124-8
Patent Strategy:
For Researchers and Research Managers, Third Edition
H. Jackson Knight
Wiley, 2013, ISBN 9781118314289
http://dx.doi.org/10.1002/9781118314289
=======================================
Reference Material =====================
Applied Linguistics, The Encyclopedia of
Carol A. Chapelle (Editor)
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Cognitive Science, Encyclopedia of
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Computational Psychology, The Cambridge Handbook of
Ron Sun (Editor)
Computer Science and Engineering,
Wiley Encyclopedia of
Benjamin W. Wah (Editor)
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Consciousness, The Blackwell Companion to
Max Velmans and Susan Schneider (Editors)
Wiley, 2007, ISBN 9780470751466
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Consciousness, The Cambridge Handbook of
Philip David Zelazo, Morris Moscovitch,
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Mathematics and Computer Science Applications
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Elsevier, 2015, ISBN 978-0-08-097087-5
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Measuring System Design, Handbook of
Peter Sydenham (Editor)
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Philosophy, The Blackwell Companion to;
Second Edition
Nicholas Bunin and E. P. Tsui-James (Editors)
Wiley, 2003, ISBN 9780470996362
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Philosophy of Computing and Information,
The Blackwell Guide to the
Luciano Floridi (Editor)
Wiley, 2004, ISBN 9780470757017
http://dx.doi.org/10.1002/9780470757017
Philosophy of Mind, The Blackwell Guide to
Stephen P. Stich and Ted A. Warfield (Editors)
Wiley, 2003, ISBN 9780470998762
http://dx.doi.org/10.1002/9780470998762
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Additional Web Resources ===============
Academia.edu – community of researchers
http://www.academia.edu/
Accelerating Intelligence Website – Ray Kurzweil
http://www.kurzweilai.net/
ACL Anthology
A Digital Archive of Research Papers in Computational
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Association for Computational Linguistics
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The DBLP Computer Science Bibliography
http://www.informatik.uni-trier.de/~ley/db/
The Genetic Programming Bibliography
http://www.cs.bham.ac.uk/~wbl/biblio/
International Joint Conferences on Artificial Intelligence, IJCAI
Proceedings
http://ijcai.org/
Research areas, Microsoft Research
http://research.microsoft.com/en-us/about/our-research/
ResearchGate – For Scientists
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A Multi-Institutional Project
http://uhaweb.hartford.edu/compsci/ccli/
Machine Learning Area, Microsoft Research
http://research.microsoft.com/en-us/about/ourresearch/machine-learning.aspx
International Conference on Machine Learning (ICML)
http://www.informatik.uni-trier.de/~ley/db/conf/icml/
The DBLP Computer Science Bibliography
http://www.informatik.uni-trier.de/~ley/db/
Home Page of Bart Kosko
http://sipi.usc.edu/~kosko/index.html
Home Page of Hans Moravec
https://www.frc.ri.cmu.edu/~hpm/
=======================================
Online Periodicals – Directly ==============
Evolutionary Intelligence
http://link.springer.com/journal/12065
IEEE Transactions on Neural Networks
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http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=72
IEEE Transactions on Neural Networks and Learning Systems
http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=596
2385
Genetic Programming and Evolvable Machines
Journal of Machine Learning Research
http://jmlr.csail.mit.edu/papers/
Natural Computing
Neural Networks
http://www.sciencedirect.com/science/journal/08936080
Neurocomputing
Swarm and Evolutionary Computation
=======================================
Odds & Ends ===========================
Creating Personalities for Synthetic Actors:
Towards Autonomous Personality Agents
Robert Trappi and Paolo Petta (Editors)
Social Understanding:
On Hermeneutics, Geometrical Models and Artificial
Intelligence
Jurgen Kluver and Christina Kluver
Springer, 2011, ISBN 978-90-481-9911-2
http://dx.doi.org/10.1007/978-90-481-9911-2
Cognitive Reasoning: A Formal Approach
Oleg Anshakov and Tamas Gergely
Springer, 2010, ISBN 978-3-540-68875-4
http://dx.doi.org/10.1007/978-3-540-68875-4
Autonomous Search
Youssef Hamadi, Eric Monfroy, and Frederic Saubion (Editors)
Springer, 2011, ISBN 978-3-642-21434-9
http://dx.doi.org/10.1007/978-3-642-21434-9
Universal Semantic Communication
Brendan Juba
Springer, 2011, ISBN 978-3-642-23297-8
http://dx.doi.org/10.1007/978-3-642-23297-8
Minds, Machines and Godel
J. R. Lucas
Philosophy, Volume 36, Number 137 (April 1961)
http://users.ox.ac.uk/~jrlucas/Godel/mmg.html
*** After clicking on the link below,
*** click on the PDF icon, and on another PDF icon
*** on the next screen
http://dx.doi.org/10.1017/S0031819100057983
Home Page of J.R. Lucas
http://users.ox.ac.uk/~jrlucas/
The Freedom of the Will
J. R. Lucas
1
The Escape of the Mind
Howard Rachlin
1
The Evolution of Consciousness
Euan Macphail
1
Machine Ethics
Michael Anderson and Susan Leigh Anderson (Editors)
The Allure of Machinic Life:
Cybernetics, Artificial Life, and the New AI
John Johnston
MIT Press, 2008, ISBN 9780262101264
http://dx.doi.org/10.7551/mitpress/9780262101264.001.0001
Metareasoning: Thinking about Thinking
Michael T. Cox and Anita Raja (Editors)
MIT Press, 2011, ISBN 9780262014809
Metacognition in computation: A selected research review
Michael T. Cox
Artificial Intelligence, Volume
169, Number 2 (December 2005)
Quantum computation, quantum theory and AI
Mingsheng Ying
Artificial Intelligence, Volume 174 (2010)
A theory of computation based on quantum logic (I)
Mingsheng Ying
Theoretical Computer Science, Volume 344 (2005)
http://dx.doi.org/10.1016/j.tcs.2005.04.001
From the Semantic Web to social machines:
A research challenge for AI on the World Wide Web
Jim Hendler and Tim Berners Lee
Artificial Intelligence, Volume 174, Number 2 (February 2010)
25 Years of Knowledge Acquisition (special issue)
International Journal of Human-Computer Studies,
Chapter 2 Speech Processing Technology: Basic Consideration
http://dx.doi.org/10.1007/978-81-322-1862-3_2
Computing Framework
Springer, 2014, ISBN 978-81-322-1862-3
http://dx.doi.org/10.1007/978-81-322-1862-3
Universal Artificial Intelligence:
Sequential Decisions Based on Algorithmic Probability
Marcus Hutter
Springer, 2005, ISBN 978-3-540-26877-2
http://dx.doi.org/10.1007/b138233
Markov Decision Processes in Artificial Intelligence:
MDPs, Beyond MDPs and Applications
Olivier Sigaud and Olivier Buffet (Editors)
Wiley, 2010, ISBN 9781118557426
http://dx.doi.org/10.1002/9781118557426
Parallel Distributed Processing at 25:
Further Explorations in the Microstructure of Cognition
Timothy T. Rogers and James L. McClelland
http://dx.doi.org/10.1111/cogs.12148
McClelland Rumelhart (special issue)
Cognitive Science, Volume 38, Number 6 (August 2014)
http://onlinelibrary.wiley.com/doi/10.1111/cogs.2014.38.issue
-6/issuetoc
A Systemic Perspective on Cognition and Mathematics
Jeffrey Yi-Lin Forrest
CRC Press, 2013, ISBN 978-0-203-48732-7
http://www.crcnetbase.com/isbn/978-1-138-00016-2
Representation Reconsidered
William M. Ramsey
The EvCA Project: A Brief History
Wim Hordijk
Complexity, Volume 18, Number 5 (May-June 2013)
http://dx.doi.org/10.1002/cplx.21445
Principles of Automated Negotiation
Shaheen Fatima, Sarit Kraus, and Michael Wooldridge
The Philosophy of Creativity: New Essays
Elliot Samuel Paul and Scott Barry Kaufman (Editors)
1
Consciousness:
Theories in Neuroscience and Philosophy of Mind
Andrea Eugenio Cavanna and Andrea Nani
Springer, 2014, ISBN 978-3-662-44088-9
http://dx.doi.org/10.1007/978-3-662-44088-9
Why Heideggerian AI Failed and How Fixing It Would
Require Making IT More Heideggerian
Hubert L. Dreyfus
The Mechanical Mind in History
Phil Husbands, Owen Holland, and Michael Wheeler
(Editors)
MIT Press, 2008, ISBN 978-0-262-08377-5
Granular Computing:
Analysis and Design of Intelligent Systems
Witold Pedrycz
CRC Press, 2013, ISBN 978-1-4398-8687-8
The Deductive Spreadsheet
Iliano Cervesato
Springer, 2013, ISBN 978-3-642-37747-1
http://dx.doi.org/10.1007/978-3-642-37747-1
Evolution, Complexity and Artificial Life
Stefano Cagnoni, Marco Mirolli, and Marco Villani (Editors)
Springer, 2014, ISBN 978-3-642-37577-4
http://dx.doi.org/10.1007/978-3-642-37577-4
A Missing Link in Cybernetics: Logic and Continuity
Alex M. Andrew
Springer, 2009, ISBN 978-0-387-75164-1
http://dx.doi.org/10.1007/978-0-387-75164-1
Creative Model Construction in Scientists and Students:
The Role of Imagery, Analogy, and Mental Simulation
John J. Clement
Springer, 2008, ISBN 978-1-4020-6712-9
http://dx.doi.org/10.1007/978-1-4020-6712-9
Computational Approaches to Analogical Reasoning:
Current Trends
Henri Prade and Gilles Richard (Editors)
Springer, 2014, ISBN 978-3-642-54516-0
http://dx.doi.org/10.1007/978-3-642-54516-0
Handbook of Constraint Programming
Francesca Rossi, Peter van Beek, and Toby Walsh
Elsevier, 2006, ISBN 978-0-444-52726-4
2
Constraint Logic Programming Using Eclipse
Krzysztof R. Apt and Mark Wallace
Constraint Handling Rules
Tom Fruhwirth
Abstract Domains in Constraint Programming
Marie Pelleau
Elsevier, 2015, ISBN 978-1-78548-2
Knowledge Spaces
Jean-Paul Doignon and Jean-Claude Falmagne
Springer, 1999, ISBN 978-3-642-58625-5
http://dx.doi.org/10.1007/978-3-642-58625-5
Learning Spaces: Interdisciplinary Applied Mathematics
Jean-Claude Falmagne and Jean-Paul Doignon
Springer, 2011, ISBN 978-3-642-01039-2
http://dx.doi.org/10.1007/978-3-642-01039-2
Knowledge Spaces: Applications in Education
Jean-Claude Falmagne, Dietrich Albert, Christopher Doble,
David Eppstein, and Xiangen Hu (Editors)
Springer, 2-13, ISBN 978-3-642-35329-1
http://dx.doi.org/10.1007/978-3-642-35329-1
Logical Dynamics of Information and Interaction
Johan van Benthem
Decision-Making and Action
Jean-Charles Pomerol
Wiley, 2012, ISBN 9781118561690
http://dx.doi.org/10.1002/9781118561690
The Semantics of Relationships:
An Interdisciplinary Perspective
Rebecca Green, Carol A Bean, and Sung Hyon Myaeng
(Editors)
Springer, 2002, ISBN 978-94-017-0073-3
http://dx.doi.org/10.1007/978-94-017-0073-3
=======================================

Artificial Intelligence, Cognition, and Robotics

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