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date: 03 March 2021

(p. xix) Preface

(p. xix) Preface

Computational and mathematical psychology has enjoyed rapid growth over the past decade. Our vision for the Oxford Handbook of Computational and Mathematical Psychology is to invite and organize a set of chapters that review these most important developments, especially those that have impacted—and will continue to impact—other fields such as cognitive psychology, developmental psychology, clinical psychology, and neuroscience. Together with a group of dedicated authors, who are leading scientists in their areas, we believe we have realized our vision. Specifically, the chapters cover the key developments in elementary cognitive mechanisms (e.g., signal detection, information processing, reinforcement learning), basic cognitive skills (e.g., perceptual judgment, categorization, episodic memory), higher-level cognition (e.g., Bayesian cognition, decision making, semantic memory, shape perception), modeling tools (e.g., Bayesian estimation and other new model comparison methods), and emerging new directions (e.g., neurocognitive modeling, applications to clinical psychology, quantum cognition) in computation and mathematical psychology.

An important feature of this handbook is that it aims to engage readers with various levels of modeling experience. Each chapter is self-contained and written by authoritative figures in the topic area. Each chapter is designed to be a relatively applied introduction with a great emphasis on empirical examples (see New Handbook of Mathematical Psychology (2014) by Batchelder, Colonius, Dzhafarov, and Myung for a more mathematically foundational and less applied presentation). Each chapter endeavors to immediately involve readers, inspire them to apply the introduced models to their own research interests, and refer them to more rigorous mathematical treatments when needed. First, each chapter provides an elementary overview of the basic concepts, techniques, and models in the topic area. Some chapters also offer a historical perspective of their area or approach. Second, each chapter emphasizes empirical applications of the models. Each chapter shows how themodels are being used to understand human cognition and illustrates the use of the models in a tutorial manner. Third, each chapter strives to create engaging, precise, and lucid writing that inspires the use of the models.

The chapters were written for a typical graduate student in virtually any area of psychology, cognitive science, and related social and behavioral sciences, such as consumer behavior and communication. We also expect it to be useful for readers ranging from advanced undergraduate students to experienced faculty members and researchers. Beyond being a handy reference book, it should be beneficial as (p. xx) a textbook for self-teaching, and for graduate level (or advanced undergraduate level) courses in computational and mathematical psychology.

We would like to thank all the authors for their excellent contributions. Also we thank the following scholars who helped review the book chapters in addition to the editors (listed alphabetically): Woo-Young Ahn, Greg Ashby, Scott Brown, Cody Cooper, Amy Criss, Adele Diederich, Chris Donkin, Yehiam Eldad, Pegah Fakhari, Birte Forstmann, Tom Griffiths, Andrew Heathcote, Alex Hedstrom, Joseph Houpt, Marc Howard, Matt Irwin, Mike Jones, John Kruschke, Peter Kvam, Bradley Love, Dora Matzke, Jay Myung, Robert Nosofsky, Tim Pleskac, Emmanuel Pothos, Noah Silbert, Tyler Solloway, Fabian Soto, Jennifer Trueblood, Joachim Vandekerckhove, Wolf Vanpaemel, Eric-Jan Wagenmakers, and Paul Williams. The authors and reviewers’ effort ensure our confidence in the high quality of this handbook.

Finally, we would like to express how much we appreciate the outstanding assistance and guidance provided by our editorial team and production team at Oxford University Press. The hard work provided by Joan Bossert, Louis Gulino, Anne Dellinger, A. Joseph Lurdu Antoine and the production team of Newgen KnowledgeWorks Pvt. Ltd., and others at the Oxford University Press are essential for the development of this handbook. It has been a true pleasure working with this team!

Jerome R. Busemeyer

Zheng Wang

James T. Townsend

Ami Eidels

December 16, 2014