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Principles of Artificial Intelligence

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Principles of Artificial Intelligence by Artificial intelligence Principles of Artificial Intelligence


Features

  • Cover Type: Hard Cover with 476 pages
  • Published by: Morgan Kaufmann Publishers June 1986
  • Written in: English
  • ISBN 10 Number: 0934613109
  • ISBN 13 Number: 978-0934613101
  • Book Dimensions: 9.3 x 6.3 x 1.5 inches
  • Weighs: 1.9 pounds

    Book Description


    A classic introduction to artificial intelligence intended to bridge the gap between theory and practice, Principles of Artificial Intelligence describes fundamental AI ideas that underlie applications such as natural language processing, automatic programming, robotics, machine vision, automatic theorem proving, and intelligent data retrieval. Rather than focusing on the subject matter of the applications, the book is organized around general computational concepts involving the kinds of data structures used, the types of operations performed on the data structures, and the properties of the control strategies used.



    Principles of Artificial Intelligenceevolved from the author's courses and seminars at Stanford University and University of Massachusetts, Amherst, and is suitable for text use in a senior or graduate AI course, or for individual study.

    Back Cover Copy


    A classic introduction to artificial intelligence intended to bridge the gap between theory and practice, Principles of Artificial Intelligence describes fundamental AI ideas that underlie applications such as natural language processing, automatic programming, robotics, machine vision, automatic theorem proving, and intelligent data retrieval. Rather than focusing on the subject matter of the applications, the book is organized around general computational concepts involving the kinds of data structures used, the types of operations performed on the data structures, and the properties of the control strategies used.



    Principles of Artificial Intelligenceevolved from the author's courses and seminars at Stanford University and University of Massachusetts, Amherst, and is suitable for text use in a senior or graduate AI course, or for individual study.

    Available from Amazon
    Price: $4.79
    Updated on 6-4-2008.

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