The Cambridge handbook of computational psychology [electronic resource]
2012
Book
Abstract: This book is a definitive reference source for the growing, increasingly important, and interdisciplinary field of computational cognitive modeling, that is, computational psychology. It combines breadth of coverage with definitive statements by leading scientists in this field. Research in computational cognitive modeling (or, simply, computational psychology) explores the essence of cognition and various cognitive functionalities through developing detailed, process-based understanding by specifying computational mechanisms, structures, and processes. Given the complexity of the human mind and its manifestation in behavioral flexibility, process-based computational models may be necessary to explicate and elucidate the intricate details of the mind. The key to understanding cognitive processes is often in fine details. Computational models provide algorithmic specificity: detailed, exactly specified, and carefully thought-out steps, arranged in precise yet flexible sequences. These models provide both conceptual clarity and precision at the same time. This book substantiates this approach through overviews and many examples.
Main title:
The Cambridge handbook of computational psychology [electronic resource] / edited by Ron Sun.
Imprint:
Cambridge [Eng.] : Cambridge University Press, 2008 (Boston, Mass. : Credo Reference, 2012.)
Collation:
1 online resource (34 entries) : 587 images, digital files.
Notes:
Includes bibliographical referenceses.Description based on title page of print version.
System details:
Mode of access: World Wide Web.
Linking notes:
Print version: xii, 753 p. : ill.
Contents:
Introduction to computational cognitive modeling / Ron Sun -- Connectionist models of cognition / Michael S. C. Thomas and James L. McClelland -- Bayesian models of cognition / Thomas L. Griffiths, Charles Kemp, and Joshua B. Tenenbaum -- Dynamical systems approaches to cognition / Gregor Schöner -- Declarative/logic-based cognitive modeling / Selmer Bringsjord -- Constraints in cognitive architectures / Niels A. Taatgen and John R. Anderson -- Computational models of episodic memory / Kenneth A. Norman, Greg Detre, and Sean M. Polyn -- Computational models of semantic memory / Timothy T. Rogers -- Models of categorization / John K. Kruschke -- Micro-process models of decision making / Jerome R. Busemeyer and Joseph G. Johnson -- Models of inductive reasoning / Evan Heit -- Mental logic, mental models, and simulations of human deductive reasoning / Philip N. Johnson-Laird and Yingrui Yang -- Computational models of skill acquisition / Stellan Ohlsson -- Computational models of implicit learning / Axel Cleeremans and Zoltán Dienes -- Computational models of attention and cognitive control / Nicola De Pisapia, Grega Repovs̆, and Todd S. Braver -- Computational models of developmental psychology / Thomas R. Shultz and Sylvain Sirois -- Computational models of psycholinguistics / Nick Chater and Morten H. Christiansen -- Computational models in personality and social psychology / Stephen J. Read and Brian M. Monroe -- Cognitive social simulation / Ron Sun -- Models of scientific explanation / Paul Thagard and Abninder Litt -- Cognitive modeling for cognitive engineering / Wayne D. Gray -- Models of animal learning and their relations to human learning / Francisco J. López and David R. Shanks -- Computational modeling of visual informaiton processing / Pawan Sinha and Benjamin J. Balas -- Models of motor control / Ferdinando A. Mussa-Ivaldi and Sara A. Solla -- Evaluation of computational modeling in cognitive science / Margaret A. Boden -- Putting the pieces together again / Aaron Sloman.
Access restrictions:
Access restricted to authorized users and institutions.
ISBN:
0521674107 (pbk)9780521674102 (pbk)9780521857413 (hardback)9781849724609 (online)0521857414 (hardback)
Dewey class:
153.0113
LC class:
BF311
Language:
English
BRN:
502653
Electronic access:
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