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Table of contents

  1. Front Matter
    Pages i-viii
  2. Ian Pratt
    Pages 1-16
  3. Ian Pratt
    Pages 17-48
  4. Ian Pratt
    Pages 49-64
  5. Ian Pratt
    Pages 65-84
  6. Ian Pratt
    Pages 85-107
  7. Ian Pratt
    Pages 108-139
  8. Ian Pratt
    Pages 140-160
  9. Ian Pratt
    Pages 161-181
  10. Ian Pratt
    Pages 182-215
  11. Ian Pratt
    Pages 216-245
  12. Back Matter
    Pages 246-280

About this book

Introduction

While assuming no prior knowledge of AI or logic, this book provides a clear and readable introduction to many of the most advanced developments in AI, as well as giving examples of their usage and critically assessing their applicability and effectiveness. Topics covered include planning, logic and inference, non-monotonic logic, reason maintenance, memory organization, probabilistic reasoning, induction and neural networks. By concentrating on inference as a central theme, the author is able to present material more sophisticated than that covered by other university textbooks in the subject. The book will therefore be particularly suitable for advanced undergraduate and graduate courses in AI.

Keywords

artificial intelligence closed world assumption intelligence knowledge memory neural networks

Authors and affiliations

  • IanĀ Pratt
    • 1
  1. 1.Department of Computer ScienceUniversity of ManchesterUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-349-13277-5
  • Copyright Information Macmillan Publishers Limited 1994
  • Publisher Name Palgrave, London
  • eBook Packages Engineering
  • Print ISBN 978-0-333-59755-2
  • Online ISBN 978-1-349-13277-5
  • Buy this book on publisher's site
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