Computation and cognition
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Computation and cognition toward a foundation for cognitive science by Zenon W. Pylyshyn

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Published by MIT Press in Cambridge, Mass .
Written in English

Subjects:

  • Cognition,
  • Artificial intelligence,
  • Cognitive science

Book details:

Edition Notes

StatementZenon W. Pylyshyn.
Classifications
LC ClassificationsBF311 .P93 1984
The Physical Object
Paginationxxiii, 292 p. :
Number of Pages292
ID Numbers
Open LibraryOL2841051M
ISBN 100262160986
LC Control Number84002913

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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 Cited by: What's so good about Pylyshyn—in particular what's so good about Pylyshyn's recent work—is that maybe, just possibly maybe, it shows us the way out of the pickle we're in—from the introduction by Jerry FodorZenon Pylyshyn is a towering figure in cognitive science; his book Computation and Cognition (MIT Press, ) is a foundational. Computation and Cognition book. Read reviews from world’s largest community for readers. The question, What is Cognitive Science? is often asked but se /5. Models for Neural Spike Computation and Cognition by David H. Staelin and Carl H. Staelin ISBN ISBN Models for Neural Spike Computation and Cognition by David Staelin and Carl Staelin is licensed under a Creative Commons Attribution Unported License.

What's so good about Pylyshyn―in particular what's so good about Pylyshyn's recent work―is that maybe, just possibly maybe, it shows us the way out of the pickle we're in―from the introduction by Jerry FodorZenon Pylyshyn is a towering figure in cognitive science; his book Computation and Cognition (MIT Press, ) is a foundational Format: Paperback. The Computation and Cognition major provides students with outstanding preparation for research and development in the science and engineering of intelligent systems. The problem of intelligence — how the brain produces intelligent behavior and how it can be replicated in machines — is one of the greatest engineering and scientific. Innovative, lucidly-written, and broad-ranging in its analysis, Computation, Dynamics, and Cognition will interest philosophers of science and mind, as well as cognitive scientists, computer scientists, and theorists of dynamical systems. This book elaborates a comprehensive picture of the application of dynamical methods to the study of cognition. This book describes such efforts originally presented in the Symposium on Cognition, Computation, and Consciousness held in the International Institute of Advanced Studies, Kyoto, Japan, in , and specially updated for this book. The first section is concerned with .

This book explores these questions using recent computational models that shed new light on issues related to language and cognition. The chapters in this collection propose original analyses of specific problems and develop computational models that have been tested and evaluated on real data. / Lana Trick, Heather Hollinsworth, and Darlene A. Brodeur --Vision for action / Mel Goodale and Marla Wolf --There's a new kid in town: computational cognitive science, meet molecular and cellular cognition / John Bickle --Inhibition of return is cognitively penetrable / Richard D. Wright and Lisa N. Jefferies --Computation and cognition --and. This systematic investigation of computation and mental phenomena by a noted psychologist and computer scientist argues that cognition is a form of computation, that the semantic contents of mental states are encoded in the same general way as computer representations are encoded. Computational cognition (sometimes referred to as computational cognitive science or computational psychology) is the study of the computational basis of learning and inference by mathematical modeling, computer simulation, and behavioral experiments. In psychology, it is an approach which develops computational models based on experimental results. It seeks to understand the basis behind the.