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.

This excellent book covers important topics

• 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

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.

This excellent book covers important topics

• 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

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.

This excellent book covers important topics

• 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