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List of contributors | |
Preface | |
Acknowledgements | |
Part I. Introduction: 1. What is AI anyway? Roger C. Schank | |
2. What kind of information processing is intelligence? B. Chandrasekaran | |
Part II. The Formal Foundations of AI: 3. Non-monotonic reasoning versus logic programming: a new perspective Teodor C. Przymusinski | |
4. Prolegomena to a theory of mechanized formal reasoning Richard W. Weyhrauch | |
Part III. Levels of Theory: 5. AI: a personal view David Marr | |
6. Has AI helped psychology? Margaret A. Boden | |
7. What's in an AI program? Derek Partridge | |
Part IV. Programs and Theories: 8. One smal head: models and theories Yorick Wilks | |
9. The nature of AI principles Alan Bundy and Stellan Ohlsson | |
10. What's in an AI program? Derek Partridge | |
Part V. The Role of Representations: 11. Thinking machines: can there be? are we? Terry Winograd | |
12. Evolution, error, and intentionality Daniel C. Dennett | |
Part VI. The Role of Programs in AI: 13. What kind of fields is AI? Alan Bundy | |
14. Programs in the search for intelligent machines: the mistaken foundations of AI Eric Dietrich | |
Part VII. Rational Reconstruction as an AI Methodology: 15. The novelties of AI: theories, rograms and rational reconstructions J. A. Campbell | |
16. AM: a case study in AI methodology G. D. Ritchie and F. K. Hanna | |
Part VIII. Is AI Special in Regard to its Methodology?: 17. Is there anything special about AI? Roger M. Needham | |
18. What sort of a thing is an AI experiment? Karen Sparck Jones | |
19. We need better standards for AI research John McCarthy | |
Part IX. Does Connectionism Provide a New Paradigm for AI? 20. Why there still has to be a language of thought Jerry A. Fodor | |
21. Connectionism and the foundations of AI Paul Smolensky | |
22. Some comments on Smolensky and Fodor Yorick Wilks | |
23. Representation and high-speed computation in neural networks Paul M. Churchland | |
Part X. The Role of Correctness in AI: 24. Does AI have a methodology different from software engineering? Derek Partridge and Yorick Wilks | |
25. AI, computer science and education Ranan Banerji | |
Part XI. Limitations on Current AI Technology: 26. The challenge of open systems Carl Hewitt | |
27. Towards a reconciliation of phenomenology and AI Stuart E. Dreyfus and Hubert L. Druyfus | |
28. The superarticulacy phenomenon in the context of software manufacture Donald Michie | |
Part XII. Annotated Bibliography on the Foundations of AI Imre Balogh and Brian M. Slator | |
Index of names. |
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