Foundations of Artificial Intelligence: A SourceBook Book

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.