The Foundations of artificial intelligence : a sourcebook / edited by Derek Partridge and Yorick Wilks
- Bib ID:
- 1834802
- Format:
- Book
- Online Version:
- Table of contents
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- Publisher description
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- Description:
-
- Cambridge [England] ; New York : Cambridge University Press, c1990
- xiv, 498 p. : ill. ; 24 cm.
- ISBN:
-
- 0521359449
- 0521351030
- Full contents:
-
- Machine derived contents note: 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.
- Notes:
-
- "Selected papers and subsequent discussion from a NSF-supported workshop on the foundations of AI held in Las Cruces, New Mexico, in 1986"--Pref.
- Includes index.
- Bibliography: p. 443-491.
- Subject:
- Artificial intelligence
- Other authors/contributors:
- Copyright:
-
In Copyright
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Copyright status was determined using the following information:
- Material type:
- Literary Dramatic Musical
- Published status:
- Published
- Publication date:
- 1990
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