Computation and Cognition: Toward a Foundation for Cognitive Science


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Description

The question, "What is Cognitive Science?" is often asked but seldom answered to anyone's satisfaction. Until now, most of the answers have come from the new breed of philosophers of mind. This book, however, is written by a distinguished psychologist and computer scientist who is well-known for his work on the conceptual foundations of cognitive science, and especially for his research on mental imagery, representation, and perception.

In Computation and Cognition, Pylyshyn argues that computation must not be viewed as just a convenient metaphor for mental activity, but as a literal empirical hypothesis. Such a view must face a number of serious challenges. For example, it must address the question of "strong equivalents" of processes, and must empirically distinguish between phenomena which reveal what knowledge the organism has, phenomena which reveal properties of the biologically determined "functional architecture" of the mind. The principles and ideas Pylyshyn develops are applied to a number of contentious areas of cognitive science, including theories of vision and mental imagery. In illuminating such timely theoretical problems, he draws on insights from psychology, theoretical computer science, artificial intelligence, and psychology of mind.

A Bradford Book



Author: Zenon W. Pylyshyn
Publisher: Bradford Book
Published: 02/07/1986
Pages: 320
Binding Type: Paperback
Weight: 0.96lbs
Size: 9.00h x 5.93w x 0.67d
ISBN13: 9780262660587
ISBN10: 026266058X
BISAC Categories:
- Computers | Artificial Intelligence | General
- Psychology | Cognitive Psychology & Cognition

About the Author

Zenon W. Pylyshyn is Board of Governors Professor of Cognitive Science at Rutgers Center for Cognitive Science. He is the author of Seeing and Visualizing: It's Not what You Think (2003) and Computation and Cognition: Toward a Foundation for Cognitive Science (1984), both published by The MIT Press, as well as over a hundred scientific papers on perception, attention, and the computational theory of mind.