The Cambridge Handbook of Computational Cognitive Sciences is a comprehensive reference for this rapidly developing and highly interdisciplinary field. Written with both newcomers and experts in mind, it provides an accessible introduction of paradigms, methodologies, approaches, and models, with ample detail and illustrated by examples. It should appeal to researchers and students working within the computational cognitive sciences, as well as those working in adjacent fields including philosophy, psychology, linguistics, anthropology, education, neuroscience, artificial intelligence, computer science, and more.

Part I: Introduction

1 An Overview of Computational Cognitive Sciences

Part II: Cognitive Modeling Paradigms

2 Connectionist Models of Cognition

3 Bayesian Models of Cognition

4 Symbolic and Hybrid Models of Cognition

5 Logic-Based Modeling of Cognition

6 Dynamical Systems Approaches to Cognition

7 Quantum Models of Cognition

8 Constraints in Cognitive Architectures

9 Deep Learning

10 Reinforcement Learning

Part III: Computational Modeling of Basic Cognitive Functionalities

11 Computational Models of Categorization

12 Computational Cognitive Neuroscience Models of Categorization

13 Models of Inductive Reasoning

14 Analogy and Similarity

15 Mental Models and Algorithms of Deduction

16 Computational Models of Decision Making

17 Computational Models of Skill Acquisition

18 Computational Models of Episodic Memory

19 Computational Neuroscience Models of Working Memory

20 Neurocomputational Models of Cognitive Control

21 Computational Models of Animal and Human Associative Learning

22 Computational Cognitive Models of Reinforcement Learning

Part IV: Computational Modeling in Various Cognitive Fields

23 Computational Models of Developmental Psychology

24 Computational Models in Personality and Social Psychology

25 Computational Modeling in Industrial-Organizational Psychology

26 Computational Modeling in Psychiatry

27 Computational Psycholinguistics

28 Natural Language Understanding and Generation

29 Computational Models of Creativity

30 Computational Models of Emotion and Cognition-Emotion Interaction

31 Computational Approaches to Morality

32 Cognitive Modeling in Social Simulation

33 Cognitive Modeling for Cognitive Engineering

34 Modeling Vision

35 Models of Multi-Level Motor Control

Part V: General Discussion

36 Model Validation, Comparison, and Selection

37 Philosophical Issues in Computational Cognitive Sciences

38 An Evaluation of Computational Modeling in Cognitive Sciences

About the Author

Ron Sun is Professor of Cognitive Science at Rensselaer Polytechnic Institute, New York. He has published numerous papers and books in cognitive sciences, including The Cambridge Handbook of Computational Psychology (Cambridge University Press, 2008). He was the recipient of the 1991 David Marr Award from Cognitive Science Society and the 2008 Hebb Award from International Neural Networks Society. He is a fellow of APS, IEEE, and other professional organizations.