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The Oxford Handbook of Computational and Mathematical Psychology

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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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