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Computation and Human ­Experience (Learning in ­Doing
Social, Cognitive and Computational Perspectives)
By Philip E. Agre, Roy Pea (Series edited by), John Seely Brown (Series edited by), Christian Heath (Series edited by)

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Format
Paperback, 392 pages
Other Formats Available

Hardback : HK$800.00

Published
United Kingdom, 28 July 1997

This book offers a critical reconstruction of the fundamental ideas and methods in artificial intelligence (AI) research. By paying close attention to the metaphors of AI and their consequences for the field's patterns of success and failure, it argues for a reorientation of the field away from thought and toward activity. By considering computational ideas in a large, philosophical framework, the author eases critical dialogue between technology and the social sciences. AI can benefit from an understanding of the field in relation to human nature, and in return, it offers a powerful mode of investigation into the practicalities of physical realization. Researchers in AI and cognitive science will welcome this timely discussion.


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Product Description

This book offers a critical reconstruction of the fundamental ideas and methods in artificial intelligence (AI) research. By paying close attention to the metaphors of AI and their consequences for the field's patterns of success and failure, it argues for a reorientation of the field away from thought and toward activity. By considering computational ideas in a large, philosophical framework, the author eases critical dialogue between technology and the social sciences. AI can benefit from an understanding of the field in relation to human nature, and in return, it offers a powerful mode of investigation into the practicalities of physical realization. Researchers in AI and cognitive science will welcome this timely discussion.

Product Details
EAN
9780521386036
ISBN
0521386039
Other Information
52 b/w illus.
Dimensions
23 x 15.4 x 2.2 centimeters (0.48 kg)

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.

Promotional Information

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

Reviews

'[an] excellently produced book ... extremely informative, easily readable and good value for money.' Palass Newsletter

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