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Computation and Human Experience Philip E. Agre|Agre, Philip E. 1 of 1
$149.66  + Free Shipping
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FORMAT: Hardcover
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Product Details:

Format: Hardcover
ISBN-10: 052138432X
ISBN-13: 9780521384322
Sku: 30413231
Publish Date: 9/13/2010
Dimensions:  (in Inches) 9.5H x 6.5L x 1T
Pages:  392
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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
From the Publisher:
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.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
Product attributeBook Format:   Hardcover
Product attributeNumber of Pages:   0392
Product attributePublisher:   Cambridge University Press
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