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Other titles in the Learning in Doing series:
Computation and Human Experience (Learning in Doing)by Philip E. Agre
Synopses & Reviews
This book offers a critical reconstruction of the fundamental ideas and methods of artificial intelligence research.
Includes bibliographical references (p. 334-359) and indexes.
Table of Contents
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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Computers and Internet » Artificial Intelligence » General