This book offers a critical reconstruction of the fundamental ideas and methods of artificial intelligence research. Through close attention to the metaphors of artificial intelligence and their consequences for the field's patterns of success and failure, it argues for a reorientation of the field away from thought in the head and towards activity in the world. 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. This is one of a series of publications associated with the Earth System Governance Project. For more publications, see www.cambridge.org/earth-system-governance.
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This book offers a critical reconstruction of the fundamental ideas and methods of artificial intelligence research. Through close attention to the metaphors of artificial intelligence and their consequences for the field's patterns of success and failure, it argues for a reorientation of the field away from thought in the head and towards activity in the world. 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.
'... [an] excellently produced book ... extremely informative, easily readable and good value for money.' Palass Newsletter
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Etat : New. This book offers a critical reconstruction of the fundamental ideas and methods of artificial intelligence research. Series Editor(s): Pea, Roy; Brown, John Seely; Heath, Christian. Series: Learning in Doing: Social, Cognitive and Computational Perspectives. Num Pages: 392 pages, 52 b/w illus. BIC Classification: UYQ; UYZ. Category: (P) Professional & Vocational. Dimension: 228 x 152 x 22. Weight in Grams: 540. . 2008. Illustrated. paperback. . . . . N° de réf. du vendeur V9780521386036
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