What Computers Still Can't Do: A Critique of Artificial Reason / Edition 1

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When it was first published in 1972, Hubert Dreyfus's manifesto on the inherent inability of disembodied machines to mimic higher mental functions caused an uproar in the artificial intelligence community. The world has changed since then. Today it is clear that "good old-fashioned AI," based on the idea of using symbolic representations to produce general intelligence, is in decline (although several believers still pursue its pot of gold), and the focus of the Al community has shifted to more complex models of the mind. It has also become more common for AI researchers to seek out and study philosophy. For this edition of his now classic book, Dreyfus has added a lengthy new introduction outlining these changes and assessing the paradigms of connectionism and neural networks that have transformed the field.At a time when researchers were proposing grand plans for general problem solvers and automatic translation machines, Dreyfus predicted that they would fail because their conception of mental functioning was naive, and he suggested that they would do well to acquaint themselves with modern philosophical approaches to human beings. What Computers Can't Do was widely attacked but quietly studied. Dreyfus's arguments are still provocative and focus our attention once again on what it is that makes human beings unique.Hubert L. Dreyfus, who is Professor of Philosophy at the University of California, Berkeley, is also the author of Being-in-the-World. A Commentary on Heidegger's Being and Time, Division I.

When first published in 1972, Dreyfus' manifesto on the inherent inability of machines to mimic mental functions caused an uproar in the artificial intelligence community. For this edition of his now classic book, Dreyfus has added a lengthy new introduction outlining changes in AI and assessing the paradigms of connectionism and neural networks that have transformed the field.

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Editorial Reviews

**** Revision of What Computers Can't Do, MIT Press, 1979 listed in BCL3. Annotation c. Book News, Inc., Portland, OR booknews.com
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Product Details

  • ISBN-13: 9780262540674
  • Publisher: MIT Press
  • Publication date: 10/30/1992
  • Edition description: Revised Edition
  • Edition number: 1
  • Pages: 408
  • Sales rank: 522,582
  • Product dimensions: 5.37 (w) x 8.00 (h) x 0.81 (d)

Meet the Author

Hubert L. Dreyfus is Professor of Philosophy at the University of California at Berkeley.

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Table of Contents

Introduction to the MIT Press Edition
Introduction to the Revised Edition 1979 1
Introduction 67
Pt. I Ten Years of Research in Artificial Intelligence 1957-1967 91
1 Phase 1 1957-1962 Cognitive Simulation
I Analysis of Work in Language Translation, Problem Solving, and Pattern Recognition
II The Underlying Significance of Failure to Achieve Predicted Results
2 Phase II 1962-1967 Semantic Information Processing 130
I Analysis of Semantic Information Processing Programs
III Significance of Current Difficulties Conclusion 149
Pt. II Assumptions Underlying Persistent Optimism
Introduction 155
3 The Biological Assumption 159
4 The Psychological Assumption 163
I Empirical Evidence for the Psychological Assumption: Critique of the Scientific Methodology of Cognitive Simulation
II A Priori Arguments for the Psychological Assumption
5 The Epistemological Assumption 189
I A Mistaken Argument from the Success of Physics
II A Mistaken Argument from the Success of Modern Linguistics
6 The Ontological Assumption 206
Conclusion 225
Pt. III Alternatives to the Traditional Assumptions
Introduction 231
7 The Role of the Body in Intelligent Behavior 235
8 The Situation: Orderly Behavior Without Recourse to Rules 256
9 The Situation as a Function of Human Needs 272
Conclusion 281
Conclusion: The Scope and Limits of Artificial Reason
The Limits of Artificial Intelligence
The Future of Artificial Intelligence 285
Notes 307
Index 346
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