The Cambridge Handbook of Computational Psychology

by Edited by Ron Sun

• ISBN13: 9780521857413
• ISBN10: 0521857414
• Edition: 1st
• Format: Hardcover
• Copyright: 2008-04-28
• Publisher: Cambridge University Press

Summary

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 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

Introduction

Introduction to computational cognitive modeling

Cognitive Modeling Paradigms

Connectionist models of cognition

Bayesian models of cognition

Dynamical systems approaches to cognition

Declarative/ logic-based computational cognitive modeling

Constraints in cognitive architectures

Computational Modeling of Various Cognitive Functionalities and Domains

Computational models of episodic memory

Computational models of semantic memory

Models of categorization

Micro-process models of decision making

Models of inductive reasoning

Mental logic, mental models, and simulations of human deductive reasoning

Computational models of skill acquisition

Computational models of implicit learning

Computational models of attention and cognitive control

Computational models of developmental psychology

Computational models of psycholinguistics

Computational models in personality and social psychology

Cognitive social simulation

Models of scientific explanationvPaul Thagard and Abninder Litt

Cognitive modeling for cognitive engineering

Models of animal learning and their relations to human learning

Computational modeling of visual information processing

Models of motor control

Concluding Remarks

An evaluation of computational modeling in cognitive science

Putting the pieces together again

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