Computation and human experience
著者
書誌事項
Computation and human experience
（Learning in doing : social, cognitive, and computational perspectives）
Cambridge University Press, 1997
- : hard
- : pbk
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注記
Includes bibliographical references (p. 334-359) and indexes
内容説明・目次
内容説明
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.
目次
- 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.
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