Computation and Human Experience (Hardcover)

Author: Philip E. Agre

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Product Overview

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 fields 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. *Author: Agre, Philip E./ Pea, Roy/ Brown, John Seely *Series Title: Learning in Doing *Binding Type: Hardcover *Number of Pages: 392 *Publication Date: 1997/07/28 *Language: English *Dimensions: 9.33 x 6.35 x 1.04 inches

Specifications

Publisher Cambridge University Press
Mfg Part# 9780521384322
SKU 30413231
Format Hardcover
ISBN10 052138432X
Release Date 9/13/2010
Physical
Dimensions (in Inches) 9.5H x 6.5L x 1T
From the Publisher
Editors Note 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.
Editors Note 1 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 Attributes
Book Format Hardcover
Number of Pages 0392
Publisher Cambridge University Press
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