The Oxford Handbook of Computational and Mathematical Psychology (Oxford

Description: This Oxford Handbook offers a comprehensive and authoritative review of important developments in computational and mathematical psychology. 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. 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

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