Connectionists: Book announcement: The NEW Cambridge Handbook of Computational Cognitive Sciences. Volumes 1 and 2.

[Sun, Ron]

The Cambridge Handbook of Computational Cognitive Sciences
 Volumes 1 and 2

Ron Sun (Ed.)
 Published by Cambridge University Press, Cambridge, UK.  

https://www.amazon.com/Cambridge-Computational-Cognitive-Handbooks-Psychology/dp/1108485073

https://sites.google.com/view/hbcompcogsci


The Cambridge Handbook of Computational Cognitive Sciences (CHCCS) is a definitive reference source for the increasingly important and interdisciplinary field of computational cognitive modeling in the cognitive sciences. Research in computational cognitive sciences explores the essence of cognition (broadly construed) and various cognitive functionalities through developing detailed, mechanistic, process-based understanding by specifying corresponding computational mechanisms and processes. 

CHCCS appeals to advanced students and researchers of this research community, as well as to advanced students and researchers in the cognitive sciences in general, including in philosophy, in cognitive psychology, in social psychology, in linguistics, in anthropology, in neuroscience, and so on.     

Table of Contents

Volume 1: 

Part 1: Introduction

Chapter 1. An Overview of Computational Cognitive Sciences 
Ron Sun 
 
Part 2:  Cognitive Modeling Paradigms 
 
Chapter 2.  Connectionist Models of Cognition 
Michael S. C. Thomas, James L. McClelland
 
Chapter 3. Bayesian Models of Cognition  
Thomas L. Griffiths, Charles Kemp, Joshua B. Tenenbaum      
 
Chapter 4.  Symbolic and Hybrid Models of Cognition 
Tarek R. Besold, Kai-Uwe Kühnberger
 
Chapter 5.  Logic-Based Modeling of Cognition
Selmer Bringsjord, Michael Giancola, Naveen Sundar Govindarajulu
 
Chapter 6. Dynamical Systems Approaches to Cognition 
Gregor Schöner
 
Chapter 7. Quantum Models of Cognition
Jerome R. Busemeyer, Emmanuel M. Pothos   
 
Chapter 8. Constraints in Cognitive Architectures  
Niels Taatgen, John Anderson 
 
Chapter 9. Deep Learning
Marco Gori, Frédéric Precioso, Edmondo Trentin 
 
Chapter 10. Reinforcement Learning
Kenji Doya
 
Part 3: Computational Modeling of Basic Cognitive Functionalities 
 
Chapter 11. Computational Models of Categorization  
Kenneth J. Kurtz 
 
Chapter 12. Computational Cognitive Neuroscience Models of Categorization
F. Gregory Ashby, Yi-Wen Wang
 
Chapter 13. Models of Inductive Reasoning  
Brett K. Hayes
 
Chapter 14. Analogy and Similarity  
John E. Hummel,  Leonidas A. A. Doumas
 
Chapter 15. Mental Models and Algorithms of Deduction
Philip N. Johnson-Laird, Sangeet S. Khemlani  
 
Chapter 16. Computational Models of Decision Making
Joseph G. Johnson, Jerome R. Busemeyer
 
Chapter 17. Computational Models of Skill Acquisition
Stellan Ohlsson
 
Chapter 18. Computational Models of Episodic Memory
Per B. Sederberg, Kevin P. Darby
 
Chapter 19. Computational Neuroscience Models of Working Memory
Thomas E. Hazy, Michael J. Frank, Randall C. O’Reilly
 
Chapter 20. Neurocomputational Models of Cognitive Control
Debbie M. Yee, Todd S. Braver
 
Chapter 21.  Computational Models of Animal and Human Associative Learning
Evan J. Livesey
 
Chapter 22. Computational Cognitive Models of Reinforcement Learning  
Kenji Doya
 

Volume 2:

Part 4: Computational Modeling in Various Cognitive Fields
 
Chapter 23.  Computational Models of Developmental Psychology
Thomas R. Shultz, Ardavan S. Nobandegani   
 
Chapter 24.  Computational Models in Personality and Social Psychology  
Stephen J. Read, Brian Monroe
 
Chapter 25.  Computational Modeling in Industrial-Organizational Psychology 
Jeffrey B. Vancouver
 
Chapter 26. Computational Modeling in Psychiatry
Cody J. Walters, Sophia Vinogradov, A. David Redish   

Chapter 27. Computational Psycholinguistics  
Matthew W. Crocker, Harm Brouwer
 
Chapter 28. Natural Language Understanding and Generation
Marjorie McShane, Sergei Nirenburg 
 
Chapter 29. Computational Models of Creativity
Sébastien Hélie, Ana-Maria Olteteanu    
 
Chapter 30. Computational Models of Emotion and Cognition-Emotion Interaction 
Eva Hudlicka
 
Chapter 31. Computational Approaches to Morality
Paul Bello, Bertram F. Malle
 
Chapter 32. Cognitive Modeling in Social Simulation
Ron Sun 
 
Chapter 33. Cognitive Modeling for Cognitive Engineering
Matthew L. Bolton, Wayne D. Gray
 
Chapter 34. Modeling Vision
Lukas Vogelsang, Pawan Sinha
 
Chapter 35. Models of Multi-Level Motor Control
Martin Giese, David Ungarish, Tamar Flash
 
Part 5: General Discussion
 
Chapter 36.  Model Validation, Comparison, and Selection
Leslie M. Blaha,   Kevin A. Gluck
 
Chapter 37. Philosophical Issues in Computational Cognitive Sciences
Mark Sprevak
 
Chapter 38.  Evaluation of Computational Modeling in Cognitive Sciences
Margaret A. Boden 


For further details, see:   https://sites.google.com/view/hbcompcogsci/