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The Foundations of Artificial Intelligence

The Foundations of Artificial Intelligence
A Sourcebook

$60.00 (C)

Roger C. Schank, B. Chandrasekaran, Teodor C. Przymusinski, Richard W. Weyhrauch, David Marr, Margaret A. Boden, Derek Partridge, Yorick Wilks, Alan Bundy, Stellan Ohlsson, Terry Winograd, Daniel C. Dennett, Eric Dietrich, J. A. Campbell;, G. D. Ritchie, F. K. Hanna, Roger M. Needham, Karen Sparck Jones, John McCarthy, Jerry A. Fodor, Paul Smolensky, Paul M. Churchland, Ranan Banerji, Carl Hewitt, Stuart E. Dreyfus, Hubert L. Druyfus, Donald Michie, Imre Balogh, Brian M. Slator
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  • Date Published: April 1990
  • availability: Available
  • format: Paperback
  • isbn: 9780521359443

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About the Authors
  • 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.

    Reviews & endorsements

    "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

    See more reviews

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    Product details

    • Date Published: April 1990
    • format: Paperback
    • isbn: 9780521359443
    • length: 516 pages
    • dimensions: 234 x 156 x 26 mm
    • weight: 0.72kg
    • availability: Available
  • 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.

  • Editors

    Derek Partridge, University of Exeter

    Yorick Wilks

    Contributors

    Roger C. Schank, B. Chandrasekaran, Teodor C. Przymusinski, Richard W. Weyhrauch, David Marr, Margaret A. Boden, Derek Partridge, Yorick Wilks, Alan Bundy, Stellan Ohlsson, Terry Winograd, Daniel C. Dennett, Eric Dietrich, J. A. Campbell;, G. D. Ritchie, F. K. Hanna, Roger M. Needham, Karen Sparck Jones, John McCarthy, Jerry A. Fodor, Paul Smolensky, Paul M. Churchland, Ranan Banerji, Carl Hewitt, Stuart E. Dreyfus, Hubert L. Druyfus, Donald Michie, Imre Balogh, Brian M. Slator

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