Cognitive modeling / edited by Thad A. Polk and Colleen M. Seifert.
2002
BF311 .C55175 2002eb
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Details
Title
Cognitive modeling / edited by Thad A. Polk and Colleen M. Seifert.
ISBN
0585442789 (electronic bk.)
9780585442785 (electronic bk.)
9780262281744 (electronic bk.)
0262281740 (electronic bk.)
0262161982
9780262161985
0262661160 (pbk. ; alk. paper)
9780262661164 (pbk. ; alk. paper)
9780585442785 (electronic bk.)
9780262281744 (electronic bk.)
0262281740 (electronic bk.)
0262161982
9780262161985
0262661160 (pbk. ; alk. paper)
9780262661164 (pbk. ; alk. paper)
Publication Details
Cambridge, Mass. : MIT Press, ©2002.
Copyright
©2002
Language
English
Description
1 online resource (xxi, 1270 pages) : illustrations.
Call Number
BF311 .C55175 2002eb
Dewey Decimal Classification
153
Summary
Annotation Computational modeling plays a central role in cognitive science. This book provides a comprehensive introduction to computational models of human cognition. It covers major approaches and architectures, both neural network and symbolic; major theoretical issues; and specific computational models of a variety of cognitive processes, ranging from low-level (e.g., attention and memory) to higher-level (e.g., language and reasoning). The articles included in the book provide original descriptions of developments in the field. The emphasis is on implemented computational models rather than on mathematical or nonformal approaches, and on modeling empirical data from human subjects.
Note
"A Bradford book."
Annotation Computational modeling plays a central role in cognitive science. This book provides a comprehensive introduction to computational models of human cognition. It covers major approaches and architectures, both neural network and symbolic; major theoretical issues; and specific computational models of a variety of cognitive processes, ranging from low-level (e.g., attention and memory) to higher-level (e.g., language and reasoning). The articles included in the book provide original descriptions of developments in the field. The emphasis is on implemented computational models rather than on mathematical or nonformal approaches, and on modeling empirical data from human subjects.
Annotation Computational modeling plays a central role in cognitive science. This book provides a comprehensive introduction to computational models of human cognition. It covers major approaches and architectures, both neural network and symbolic; major theoretical issues; and specific computational models of a variety of cognitive processes, ranging from low-level (e.g., attention and memory) to higher-level (e.g., language and reasoning). The articles included in the book provide original descriptions of developments in the field. The emphasis is on implemented computational models rather than on mathematical or nonformal approaches, and on modeling empirical data from human subjects.
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