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Artificial Intelligence

  • Textbook
  • © 1994

Overview

Authors:
  1. Ian Pratt

    1. Department of Computer Science, University of Manchester, UK

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Part of the book series: Computer Science Series (COMPSS)

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-viii
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  2. What is Artificial Intelligence?

    • Ian Pratt
    Pages 1-16

  3. Search and Planning

    • Ian Pratt
    Pages 17-48

  4. Logic and Inference

    • Ian Pratt
    Pages 49-64

  5. Closed World Assumptions

    • Ian Pratt
    Pages 65-84

  6. Defeasible Inference

    • Ian Pratt
    Pages 85-107

  7. Reason Maintenance

    • Ian Pratt
    Pages 108-139

  8. Memory Organization

    • Ian Pratt
    Pages 140-160

  9. Probabilistic Inference

    • Ian Pratt
    Pages 161-181

  10. Induction

    • Ian Pratt
    Pages 182-215

  11. Neural Networks

    • Ian Pratt
    Pages 216-245

  12. Back Matter

    Pages 246-280
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Keywords

About this book

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.

Authors and Affiliations

  • Department of Computer Science, University of Manchester, UK

    Ian Pratt

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