here is a book on that topic (that is, integration between models
focused on inter-agent interactions and models focused on intra-agent
R. Sun, Cognition and Multi-Agent Interaction: From Cognitive
Mdoeling to Social Simulation. Cambridge University Press, New York.
On Jul 1, 2008, at 6:21 PM, Steve Peck wrote:
> wonderful looking book, thanks for pulling it together
> I have a question for the group:
> Why does there seem to be such a lack of integration between
> models focused on inter-agent interactions
> and models focused on intra-agent dynamics?
> Professor Ron Sun wrote:
>> The Cambridge Handbook of Computational Psychology
>> edited by Ron Sun
>> published by Cambridge U. Press
>> see: http://www.cambridge.org/catalogue/catalogue.asp?
>> This book is a definitive reference source for the growing,
>> increasingly more important, and interdisciplinary field of
>> computational cognitive modeling, that is, computational
>> psychology. It combines breadth of coverage with definitive
>> statements by leading scientists in this field. Research in
>> computational cognitive modeling (or, simply, computational
>> psychology) explores the essence of cognition and various
>> cognitive functionalities through developing detailed, process-
>> based understanding by specifying computational mechanisms,
>> structures, and processes. Given the complexity of the human mind
>> and its manifestation in behavioral flexibility, process-based
>> computational models may be necessary to explicate and elucidate
>> the intricate details of the mind. The key to understanding
>> cognitive processes is often in fine details. Computational models
>> provide algorithmic specificity: detailed, exactly specified, and
>> carefully thought-out steps, arranged in precise yet flexible
>> sequences. These models provide both conceptual clarity and
>> precision at the same time. This book substantiates this approach
>> through overviews and many examples.
>> Table of Contents
>> Part 1: Introduction
>> Chapter 1. Introduction to Computational Cognitive Modeling.
>> Ron Sun
>> Part 2: Cognitive Modeling Paradigms
>> Chapter 2. Connectionist Models of Cognition.
>> Michael Thomas and James McClelland
>> Chapter 3. Bayesian Models of Cognition.
>> Thomas Griffiths, Charles Kemp, and Joshua Tenenbaum
>> Chapter 4. Dynamical Systems Approaches to Cognition.
>> Gregor Schoener
>> Chapter 5. Declarative/Logic-Based Computational Cognitive Modeling.
>> Selmer Bringsjord
>> Chapter 6. Constraints in Cognitive Architectures.
>> Niels Taatgen and John Anderson
>> Part 3: Computational Modeling of Various Cognitive Functionalities
>> and Domains
>> Chapter 7. Computational Models of Episodic Memory.
>> Kenneth Norman, Greg Detre, and Sean Polyn
>> Chapter 8. Computational Models of Semantic Memory.
>> Timothy Rogers
>> Chapter 9. Models of Categorization.
>> John Kruschke
>> Chapter 10. Micro-Process Models of Decision Making.
>> Jerome Busemeyer and Joseph Johnson
>> Chapter 11. Models of Inductive Reasoning.
>> Evan Heit
>> Chapter 12. Mental Logic, Mental Models, and Simulations of Human
>> Deductive Reasoning.
>> Philip Johnson-Laird and Yingrui Yang
>> Chapter 13. Computational Models of Skill Acquisition.
>> Stellan Ohlsson
>> Chapter 14. Computational Models of Implicit Learning.
>> Axel Cleeremans and Zoltan Dienes
>> Chapter 15. Computational Models of Attention and Cognitive Control.
>> Nicola De Pisapia, Grega Repovs, Todd Braver
>> Chapter 16. Computational Models of Developmental Psychology.
>> Thomas Shultz and Sylvain Sirois
>> Chapter 17. Computational Models of Psycholinguistics.
>> Nick Chater and Morten Christiansen
>> Chapter 18. Computational Models in Personality and Social
>> Stephen Read and Brian Monroe
>> Chapter 19. Cognitive Social Simulation.
>> Ron Sun
>> Chapter 20. Models of Scientific Explanation.
>> Paul Thagard and Abninder Litt
>> Chapter 21. Cognitive Modeling for Cognitive Engineering.
>> Wayne Gray
>> Chapter 22. Models of Animal Learning and Their Relations to
>> Human Learning.
>> Francisco Lopez and David Shanks
>> Chapter 23. Computational Modeling of Visual Information Processing.
>> Pawan Sinha and Benjamin Balas
>> Chapter 24. Models of Motor Control.
>> Ferdinando Mussa-Ivaldi and Sara Solla
>> Part 4: Concluding Remarks
>> Chapter 25. An Evaluation of Computational Modeling in Cognitive
>> Margaret Boden
>> Chapter 26. Putting the Pieces Together Again.
>> Aaron Sloman
>> To order, go to:
>> Professor Ron Sun
>> Cognitive Science Department
>> Rensselaer Polytechnic Institute
>> 110 Eighth Street, Carnegie 302A
>> Troy, NY 12180, USA
>> phone: 518-276-3409
>> fax: 518-276-3017
>> email: [log in to unmask]
>> web: http://www.cogsci.rpi.edu/~rsun
> Stephen C. Peck
> Research Investigator
> Achievement Research Lab
> Research Center for Group Dynamics
> Institute for Social Research
> University of Michigan
> 426 Thompson Street, # 5136
> Ann Arbor, MI 48106-1248
> (734) 647-3683; fax (734) 936-7370
> [log in to unmask]
Professor Ron Sun
Cognitive Science Department
Rensselaer Polytechnic Institute
110 Eighth Street, Carnegie 302A
Troy, NY 12180, USA
email: [log in to unmask]