Offers a critical reconstruction of the fundamental ideas and methods of artificial intelligence research.
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.
Table of Contents
2. Metaphor in practice
3. Machinery and dynamics
4. Abstraction and implementation in cognitive
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.