Principles of Artificial Intelligence
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.
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... problem - solving strategy . It has been found that it is often much more efficient to produce an inexpensive , errorful solution to a programming or robot control problem ... problems ( including the traveling salesman problem 6 PROLOGUE.
Nils J. Nilsson. Several of these problems ( including the traveling salesman problem ) are members of a class that ... problem size . ( For example , the number of cities would be a measure of the size of a traveling salesman problem ...
... problem . Selecting a good representation is one of the important arts involved in applying AI techniques to practical problems . For the 8 - puzzle and certain other problems , we can easily identify elements of the problem that ...
PRODUCTION SYSTEMS AND AI
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