[PDF.94pt] Computation and Human Experience (Learning in Doing: Social, Cognitive and Computational Perspectives)

Computation and Human Experience (Learning in Doing: Social, Cognitive and Computational Perspectives)

[PDF.vx81] Computation and Human Experience (Learning in Doing: Social, Cognitive and Computational Perspectives)

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 | #2690599 in Books |  1997-07-28 | Original language:English | PDF # 1 |  8.98 x.87 x5.98l,1.19 | File type: PDF | 392 pages

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||10 of 11 people found the following review helpful.| Dated, but good|By Coffeecoffeecoffee|During the 1980s, there were two main approaches to the computational study of human intelligence. The first, and largest, was the symbolic approach, derived from the work of Church and Turing, and later championed by two giants in the field, Simon and Newell. These researchers formulated the Physical Symbol System Hypothesis, according| |'... [an] excellently produced book ... extremely informative, easily readable and good value for money.' Palass Newsletter

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 science...

You can specify the type of files you want, for your gadget.Computation and Human Experience (Learning in Doing: Social, Cognitive and Computational Perspectives)   |  Philip E. Agre. A good, fresh read, highly recommended.

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