Introduction to Computational Cognitive Modeling

Instead going straight into dealing with specific approaches, issues, and domains of computational cognitive modeling, it would be more appropriate to first take some time to explore a few general questions that lie at the very core of cognitive science and computational cognitive modeling. What is computational cognitive modeling? What exactly can it contribute to cognitive science? What has it contributed thus far? Where is it going? Answering such questions may sound overly defensive to the insiders of computational cognitive modeling, and may even seem so to some other cognitive scientists, but they are very much needed in a volume like this—because they lie at the very foundation of this field. Many insiders and outsiders alike would like to take a balanced and rational look at these questions, without indulging in excessive cheer-leading, which, as one would expect, happens sometimes amongst computational modeling enthusiasts. However, given the large number of issues involved and the complexity of these issues, only a cursory discussion is possible in this introductory chapter. One may thus view this chapter as a set of pointers to the existing literature, rather than a full-scale discussion.

[1]  Ron Sun,et al.  Theoretical status of computational cognitive modeling , 2009, Cognitive Systems Research.

[2]  Ron Sun,et al.  The importance of cognitive architectures: an analysis based on CLARION , 2007, J. Exp. Theor. Artif. Intell..

[3]  Michael Rw Dawson.  Computer Modeling of Cognition: Levels of Analysis , 2006 .

[4]  Christian Lebiere,et al.  Cognition and Multi-Agent Interaction: From Cognitive Modeling to Social Simulation , 2006 .

[5]  L. A. Coward,et al.  On levels of cognitive modeling , 2005 .

[6]  Aaron Sloman,et al.  More things than are dreamt of in your biology: Information-processing in biologically inspired robots , 2005, Cognitive Systems Research.

[7]  M. Cole,et al.  Mind in society: The development of higher psychological processes. L. S. Vygotsky. , 1978 .

[8]  R. Sun,et al.  The interaction of the explicit and the implicit in skill learning: a dual-process approach. , 2005, Psychological review.

[9]  Ron Sun,et al.  Simulating Organizational Decision-Making Using a Cognitively Realistic Agent Model , 2004, J. Artif. Soc. Soc. Simul..

[10]  Ron Sun,et al.  Criteria for an effective theory of consciousness and some preliminary attempts , 2004, Consciousness and Cognition.

[11]  R. Sun.  Desiderata for cognitive architectures , 2004 .

[12]  C. Lebiere,et al.  The Newell Test for a theory of cognition , 2003, Behavioral and Brain Sciences.

[13]  Frank E. Ritter,et al.  Techniques for modelling human performance in synthetic environments : A supplementary review , 1999 .

[14]  Peter Dayan,et al.  Levels of analysis in neural modelling , 2006 .

[15]  Ron Sun,et al.  Duality of the Mind , 2002 .

[16]  R. Nisbett,et al.  Culture and systems of thought: holistic versus analytic cognition. , 2001, Psychological review.

[17]  R. Sun.  Cognitive science meets multi-agent systems: A prolegomenon , 2001 .

[18]  Refractor.  Vision , 2000, The Lancet.

[19]  Thomas J. Palmeri,et al.  Encyclopedia of Cognitive Science , 2003 .

[20]  H. Wilson,et al.  Perception of head orientation , 2000, Vision Research.

[21]  H Pashler,et al.  How persuasive is a good fit? A comment on theory testing. , 2000, Psychological review.

[22]  Vasant Honavar,et al.  Integration of cognitive systems across disciplinary boundaries , 1999, Cognitive Systems Research.

[23]  P. Callero.  :Social Mindscapes: An Invitation to Cognitive Sociology , 1999 .

[24]  W. Bechtel,et al.  A companion to cognitive science , 1999 .

[25]  Charles X. Ling,et al.  Computational Cognitive Modeling, the Source of Power, and Other Related Issues , 1998, AI Mag..

[26]  C. Lebiere,et al.  The Atomic Components of Thought , 1998 .

[27]  Richard W. Pew,et al.  Modeling human and organizational behavior : application to military simulations , 1998 .

[28]  K J Vicente,et al.  An ecological theory of expertise effects in memory recall. , 1998, Psychological review.

[29]  Mary A. Mark,et al.  An Interview Reflection on “Intelligent Tutoring Goes to School in the Big City” , 2015, International Journal of Artificial Intelligence in Education.

[30]  D E Kieras,et al.  A computational theory of executive cognitive processes and multiple-task performance: Part 1. Basic mechanisms. , 1997, Psychological review.

[31]  L. Quéré.  Cognition in Practice , 1996 .

[32]  R. Joynt.  Descartes' Error: Emotion, Reason, and the Human Brain , 1995 .

[33]  Sean A. Spence,et al.  Descartes' Error: Emotion, Reason and the Human Brain , 1995 .

[34]  M. Goodale,et al.  The visual brain in action , 1995 .

[35]  R. Luce,et al.  Four tensions concerning mathematical modeling in psychology. , 1995, Annual review of psychology.

[36]  Edwin Hutchins,et al.  How a Cockpit Remembers Its Speeds , 1995, Cogn. Sci..

[37]  Ron Sun,et al.  Integrating rules and connectionism for robust commonsense reasoning , 1994, Sixth-generation computer technology series.

[38]  Ron Sun,et al.  Computational Architectures Integrating Neural And Symbolic Processes , 1994 .

[39]  Joseph E LeDoux.  Brain mechanisms of emotion and emotional learning , 1992, Current Biology.

[40]  Richard Reviewer-Granger.  Unified Theories of Cognition , 1991, Journal of Cognitive Neuroscience.

[41]  G. Reeke.  Marvin Minsky, The Society of Mind , 1991, Artif. Intell..

[42]  D. L. Hintzman.  Human learning and memory: connections and dissociations. , 1990, Annual review of psychology.

[43]  D. Massaro.  Some criticisms of connectionist models of human performance , 1988 .

[44]  James L. McClelland,et al.  James L. McClelland, David Rumelhart and the PDP Research Group, Parallel distributed processing: explorations in the microstructure of cognition . Vol. 1. Foundations . Vol. 2. Psychological and biological models . Cambridge MA: M.I.T. Press, 1987. , 1989, Journal of Child Language.

[45]  J. Rassmusen,et al.  Information Processing and Human - Machine Interaction: An Approach to Cognitive Engineering , 1986 .

[46]  S. Grossberg.  Studies of mind and brain : neural principles of learning, perception, development, cognition, and motor control , 1982 .

[47]  Roger C. Schank,et al.  Scripts, plans, goals and understanding: an inquiry into human knowledge structures , 1978 .

[48]  Allen Newell,et al.  Computer science as empirical inquiry: symbols and search , 1976, CACM.

[49]  Marvin Minsky,et al.  A framework for representing knowledge , 1974 .

[50]  A. Battersby.  Plans and the Structure of Behavior , 1968 .

[51]  A. M. Turing,et al.  Computing Machinery and Intelligence , 1950, The Philosophy of Artificial Intelligence.

[52]  E. Durkheim,et al.  Rules of Sociological Method , 1964 .