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Computation and Human Experience (Learning in Doing)

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Computation and Human Experience (Learning in Doing) Cover

 

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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