Overview

This Oxford Handbook offers a comprehensive and authoritative review of important developments in computational and mathematical psychology. With chapters written by leading scientists across a variety of subdisciplines, it examines the field's influence on related research areas such as cognitive psychology, developmental psychology, clinical psychology, and neuroscience. The Handbook emphasizes examples and applications of the latest research, and will appeal to readers possessing various levels of modeling experience.The Oxford Handbook of Computational and mathematical Psychology covers the key developments in elementary cognitive mechanisms (signal detection, information processing, reinforcement learning), basic cognitive skills (perceptual judgment, categorization, episodic memory), higher-level cognition (Bayesian cognition, decision making, semantic memory, shape perception), modeling tools (Bayesian estimation and other new model comparison methods), and emerging new directions in computation and mathematical psychology (neurocognitive modeling, applications to clinical psychology, quantum cognition). The Handbook would make an ideal graduate-level textbook for courses in computational and mathematical psychology. Readers ranging from advanced undergraduates to experienced faculty members and researchers in virtually any area of psychology--including cognitive science and related social and behavioral sciences such as consumer behavior and communication--will find the text useful.

Full Product Details

Author:   Jerome R. Busemeyer (Provost Professor of Psychology, Provost Professor of Psychology, Indiana University) ,  Zheng Wang (Associate Professor of Psychology, Associate Professor of Psychology, The Ohio State University) ,  James T. Townsend (Distinguished Rudy Professor of Psychology, Distinguished Rudy Professor of Psychology, Indiana University) ,  Ami Eidels (Senior Lecturer in Cognitive Psychology, Senior Lecturer in Cognitive Psychology, University of Newcastle)
Publisher:   Oxford University Press Inc
Imprint:   Oxford University Press Inc
Dimensions:   Width: 25.70cm , Height: 3.60cm , Length: 18.30cm
Weight:   0.882kg
ISBN:  

9780199957996

ISBN 10:   0199957991
Pages:   424
Publication Date:   30 April 2015
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   To order  
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Table of Contents

Preface 1. Introduction Jerome R. Busemeyer, Zheng Wang, James T. Townsend, and Ami Eidels Part I. Elementary Cognitive Mechanisms 2. Multidimensional Signal Detection Theory F. Gregory Ashby and Fabian A. Soto 3. Modeling Simple Decisions and Applications Using a Diffusion Model Roger Ratcliff and Philip Smith 4. Features of Response Times: Identification of Cognitive Mechanisms through Mathematical Modeling Daniel Algom, Ami Eidels, Robert X. D. Hawkins, Brett Jefferson, and James T. Townsend 5. Computational Reinforcement Learning Todd M. Gureckis and Bradley C. Love Part II. Basic Cognitive Skills 6. Why Is Accurately Labeling Simple Magnitudes So Hard? A Past, Present, and Future Look at Simple Perceptual Judgment Chris Donkin, Babette Rae, Andrew Heathcote, and Scott D. Brown 7. An Exemplar-Based Random-Walk Model of Categorization and Recognition Robert M. Nosofsky and Thomas J. Palmeri 8. Models of Episodic Memory Amy H. Criss and Marc W. Howard Part III. Higher Level Cognition 9. Structure and Flexibility in Bayesian Models of Cognition Joseph L. Austerweil, Samuel J. Gershman, and Thomas L. Griffiths 10. Models of Decision Making under Risk and Uncertainty Timothy J. Pleskac, Adele Diederich, and Thomas S. Wallsten 11. Models of Semantic Memory Michael N. Jones, Jon Willits, and Simon Dennis 12. Shape Perception Tadamasa Sawada, Yunfeng Li, and Zygmunt Pizlo Part IV. New Directions 13. Bayesian Estimation in Hierarchical Models John K. Kruschke and Wolf Vanpaemel 14. Model Comparison and the Principle of Parsimony Joachim Vandekerckhove, Dora Matzke, and Eric-Jan Wagenmakers 15. Neurocognitive Modeling of Perceptual Decision Making Thomas J. Palmeri, Jeffrey D. Schall, and Gordon D. Logan 16. Mathematical and Computational Modeling in Clinical Psychology Richard W. J. Neufeld 17. Quantum Models of Cognition and Decision Jerome R. Busemeyer, Zheng Wang, and Emmanuel Pothos Index

Reviews

A key feature of the Handbook is its apparent and welcome emphasis on clear and concise writing, for the most part free of jargon. . . The result is a clear, richly detailed, and imaginative reference collection of chapters, each very well written and edited, which describe and introduce contemporary methodological and statistical approaches to modelling human cognition. * Dr. Howard Everson, PsycCRITIQUES, Vol. 60, No. 51, Dec 2015 * This excellent book covers important topics * Doody's Notes *

This excellent book covers important topics Doody's Notes

This excellent book covers important topics, but requires an extensive background in computational and mathematical psychology to get the most out of it. --Gary B Kaniuk, oody's Health Sciences Book Review

This excellent book covers important topics Doody's Notes A key feature of the Handbook is its apparent and welcome emphasis on clear and concise writing, for the most part free of jargon... The result is a clear, richly detailed, and imaginative reference collection of chapters, each very well written and edited, which describe and introduce contemporary methodological and statistical approaches to modelling human cognition. Dr. Howard Everson, PsycCRITIQUES, Vol. 60, No. 51, Dec 2015

Author Information

Dr. Jerome R. Busemeyer is Provost Professor of Psychology at Indiana University. Dr. Zheng Wang is an Associate Professor at the Ohio State University and directs the Communication and Psychophysiology Lab. Dr. James T. Townsend is Distinguished Rudy Professor of Psychology at Indiana University. Dr. Ami Eidels is a senior lecturer in Cognitive Psychology at the School of Psychology, University of Newcastle, Australia.

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