The Oxford Handbook of Computational and Mathematical Psychology

Jerome R. Busemeyer, Zheng Wang, James T. Townsend, and Ami Eidels

Oxford Library of Psychology

A comprehensive, authoritative review of historical and recent developments in computational and mathematical psychology.
Written in an accessible style by leading scientists in each topic area, with an emphasis on examples and applications.
Each chapter is self contained and aims to engage readers possessing various levels of modeling experience.
For graduate students, researchers, and scholars studying brain science and related fields.

The Oxford Handbook of Computational and Mathematical Psychology

Jerome R. Busemeyer, Zheng Wang, James T. Townsend, and Ami Eidels

Description

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.

The Oxford Handbook of Computational and Mathematical Psychology

Jerome R. Busemeyer, Zheng Wang, James T. Townsend, and Ami Eidels

Oxford Library of Psychology

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

The Oxford Handbook of Computational and Mathematical Psychology

Jerome R. Busemeyer, Zheng Wang, James T. Townsend, and Ami Eidels

Oxford Library of Psychology

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.

Contributors:

Daniel Algom
Department of Psychology
Tel-Aviv University
Israel

F. Gregory Ashby
Department of Psychological & Brain Sciences
University of California
Santa Barbara, CA
USA

Joseph L. Austerweil
Department of Cognitive, Linguistics, and Psychological Sciences
Brown University
Providence, RI
USA

Scott D. Brown
School of Psychology
University of Newcastle
Callaghan, NSW
Australia

Jerome R. Busemeyer
Department of Psychological and Brain Sciences
Cognitive Science Program
Indiana University
Bloomington, IN
USA

Amy H. Criss
Department of Psychology
Syracuse University
Syracuse, NY
USA

Simon Dennis
Department of Psychology
The Ohio State University
Columbus, OH
USA

Adele Diederich
Psychology
Jacobs University
Bremen, gGmbH
Germany

Chris Donkin
School of Psychology
University of New South Wales
Kensington, NSW
Australia

Ami Eidels
School of Psychology
University of Newcastle
Callaghan, NSW
Australia

Samuel J. Gershman
Department of Brain and Cognitive Sciences
Massachusetts Institute of Technology
Cambridge, MA
USA

Thomas L. Griffiths
Department of Psychology
University of California
Berkeley, CA

Todd M. Gureckis
Department of Psychology
New York University
New York, NY
USA

Robert X. D. Hawkins
Department of Psychological and Brain Sciences
Indiana University
Bloomington, IN
USA

Andrew Heathcote
School of Psychology
University of Newcastle
Callaghan, NSW
Australia

Marc Howard
Center for Memory & Brain
Department of Psychological and Brain Sciences
Boston University
Boston, MA
USA

Brett Jefferson
Department of Psychological and Brain Sciences
Indiana University
Bloomington, IN
USA

Michael N. Jones
Department of Psychological and Brain Sciences
Indiana University
Bloomington, IN
USA

John K. Kruschke
Dept. of Psychological and Brain Sciences
Indiana University
Bloomington, IN
USA

Yunfeng Li
Department of Psychological Sciences
Purdue University
West Lafayette, IN
USA

Gordon D. Logan
Department of Psychology
Vanderbilt Vision Research Center
Center for Integrative and Cognitive Neuroscience
Vanderbilt University
Nashville, TN
USA

Bradley C. Love
University College London
Experimental Psychology
London
UK

Dora Matzke
Department of Psychology
University of Amsterdam
Weesperplein 4
1018 XA Amsterdam
The Netherlands

Robert M. Nosofsky
Department of Psychological and Brain Sciences
Indiana University
Bloomington, IN 47405
USA

Richard W. J. Neufeld
Department of Psychology
University of Western Ontario
London, Ontario
Canada

Thomas J. Palmeri
Department of Psychology
Vanderbilt Vision Research Center
Center for Integrative and Cognitive Neuroscience
Vanderbilt University
Nashville, TN
USA

Zygmunt Pizlo
Department of Psychological Sciences
Purdue University
West Lafayette, IN
USA

Timothy J. Pleskac
Psychology Department
Michigan State University
East Lansing, MI
USA

Emmanuel Pothos
Department of Psychology
City University London
London
UK

Babette Rae
School of Psychology
University of Newcastle
Callaghan, NSW
Australia

Roger Ratcliff
Department of Psychology
The Ohio State University
Columbus, OH
USA

Tadamasa Sawada
Graduate Center for Vision Research
State University of New York College of Optometry
New York, NY
USA

Jeffrey D. Schall
Department of Psychology
Vanderbilt Vision Research Center
Center for Integrative and Cognitive Neuroscience
Vanderbilt University
Nashville, TN
USA

Philip Smith
School of Psychological Sciences
The University of Melbourne
Parkville, VIC
Australia

Fabian A. Soto
Department of Psychological & Brain Sciences
University of California
Santa Barbara, CA
USA

Joshua B. Tenenbaum
Department of Brain and Cognitive Sciences
Massachusetts Institute of Technology
Cambridge, MA
USA

James T. Townsend
Department of Psychological and Brain Sciences
Cognitive Science Program
Indiana University
Bloomington, IN
USA

Joachim Vandekerckhove
Department of Cognitive Sciences
University of California
Irvine, CA
USA

Wolf Vanpaemel
Faculty of Psychology and Educational Sciences
University of Leuven
Belgium

Eric-Jan Wagenmakers
Department of Psychology
University of Amsterdam
The Netherlands

Thomas S. Wallsten
Department of Psychology
Center for Advanced Study of Language
University of Maryland
College Park, MD
USA

Zheng Wang
School of Communication
Center for Cognitive and Brain Sciences
The Ohio State University
Columbus, OH
USA

Jon Willits
Department of Psychological and Brain Sciences
Indiana University
Bloomington, IN
USA

The Oxford Handbook of Computational and Mathematical Psychology

Jerome R. Busemeyer, Zheng Wang, James T. Townsend, and Ami Eidels

Oxford Library of Psychology

Reviews and Awards

"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

"The liberal, and altogether appropriate, use of figures, graphs, and tables increases the overall clarity of the expository writing in all the chapters. These schema headings and graphical organizers and pictorials lend to the instructional value of the Handbook. The result is a clear, richly detailed, and imaginative collection of chapters, each very well written and edited, which describe and introduce contemporary methodological and statistical approaches to modeling human cognition. This organizing framework works well." --PsycCRITIQUES