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The Oxford Handbook of Computational and Mathematical Psychology (Oxford Library of Psychology)

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Notă GoodReads:
en Limba Engleză Hardback – 30 Apr 2015
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, andwill 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 incomputation 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.
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ISBN-13: 9780199957996
ISBN-10: 0199957991
Pagini: 424
Ilustrații: contains illustrations
Dimensiuni: 183 x 258 x 36 mm
Greutate: 0.87 kg
Editura: Oxford University Press
Colecția OUP USA
Seria Oxford Library of Psychology

Locul publicării: New York, United States


This excellent book covers important topics
A key feature of the Handbook is its apparent and welcome emphasis on clear and concise writing, for the most part free of jargon. . . The result is a clear, richly detailed, and imaginative reference collection of chapters, each very well written and edited, which describe and introduce contemporary methodological and statistical approaches to modelling human cognition.

Notă biografică

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.