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.
|Publisher:||Cambridge University Press|
|Series:||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.