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Computation and Human Experience (Learning in Doing
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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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This book offers a critical reconstruction of the fundamental ideas and methods of artificial intelligence research.

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'[an] excellently produced book ... extremely informative, easily readable and good value for money.' Palass Newsletter

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