Computation and Human Experienceby Philip E. Agre, John Seely Brown, Roy Pea
Pub. Date: 08/28/2010
Publisher: Cambridge University Press
By paying close attention to the metaphors of artificial intelligence and their consequences for the field's patterns of success and failure, this text argues for a reorientation of the field away from thought and toward activity. It offers a critical reconstruction of AI research.
- Cambridge University Press
- Publication date:
- Learning in Doing: Social, Cognitive and Computational Perspectives Series
- Product dimensions:
- 5.98(w) x 8.98(h) x 0.98(d)
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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