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Shawn Donley: IMG Peter Stark: The Powells.com Interview



Peter StarkIt's hard to believe that 200 years ago, the Pacific Northwest was one of the most remote and isolated regions in the world. In 1810, four years... Continue »
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Computation and Human Experience (Learning in Doing)

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Synopses & Reviews

Publisher Comments:

This book offers a critical reconstruction of the fundamental ideas and methods of artificial intelligence research.

Table of Contents

1. Introduction; 2. Metaphor in practice; 3. Machinery and dynamics; 4. Abstraction and implementation in cognitive science; 5. The digital abstraction; 6. Dependency maintenance; 7. Rule system; 8. Planning and improvisation; 9. Running arguments; 10. Experiments with running arguments; 11. Representation and indexicality; 12. Deictic representation.

Product Details

ISBN:
9780521384322
Editor:
Pea, Roy
Editor:
Brown, John Seely
Editor:
Pea, Roy
Editor:
Brown, John Seely
Author:
Heath, Christian
Author:
Pea, Roy
Author:
Agre, Philip E.
Author:
Brown, John Seely
Publisher:
Cambridge University Press
Location:
Cambridge
Subject:
Personality
Subject:
Cognitive Psychology
Subject:
Artificial Intelligence
Subject:
Human behavior
Subject:
Artificial intelligence -- Data processing.
Subject:
Artificial Intelligence - General
Subject:
Personalityy
Subject:
Artificial intelligence--Data processing Arti
Subject:
Intelligence (AI) & Semantics
Subject:
Psychology-Cognitive Science
Copyright:
Series:
Learning in Doing: Social, Cognitive and Computational Perspectives
Publication Date:
19970731
Binding:
Hardcover
Grade Level:
Professional and scholarly
Language:
English
Illustrations:
Y
Pages:
389
Dimensions:
9.33x6.35x1.04 in. 1.51 lbs.

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Related Subjects

Computers and Internet » Artificial Intelligence » General
Computers and Internet » Computers Reference » General
Health and Self-Help » Psychology » Cognitive Science
Health and Self-Help » Psychology » Personality Disorders
History and Social Science » World History » General
Languages » ESL » General

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