The Foundations of Artificial Intelligence: A Sourcebook

by Derek Partridge, Yorick Wilks

Overview

Addressing the fundamental issues or principles underlying the task of Artificial Intelligence, the editors have selected not only papers now recognized as classics but also many specially commissioned papers that together examine the methodological and theoretical foundations of the discipline from a wide variety of perspectives: computer science and software engineering, cognitive psychology, philosophy and formal logic, and linguistics. Carefully planned and structured, the volume as a whole tackles many of the contentious questions of immediate concern to AI researchers and interested observers. The comprehensiveness of this collection is further enhanced by the full, annotated bibliography.

Product Details

ISBN-13:	9780521359443
Publisher:	Cambridge University Press
Publication date:	04/26/1990
Edition description:	New Edition
Pages:	516
Product dimensions:	5.87(w) x 8.90(h) x 1.06(d)

Table of Contents

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.

Editorial Reviews

"A nontechnical treatment of AI, recommended for general readers." Choice

"...a valuable resource and a model for future publications." William Hunt, Canadian Artificial Intelligence

"...any reader who wants to stop at the question as to what AI really is will find this collection of papers a valuable sourcebook." G.A.W. Vreeswijk, Mathematical Reviews

From the Publisher