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 Intelligence"evolved 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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The backtracking process is one way in which the control strategy can be
tentative . A rule is selected , and if it doesn ' t lead to a solution , the intervening
steps are “ forgotten , ” and another rule is selected instead . Formally , the
We begin our discussion of tentative control by describing backtracking methods .
2 . 1 . BACKTRACKING STRATEGIES In chapter 1 we presented a general
description of the backtracking control strategy and illustrated its use on the 8 ...
The 8 - puzzle example of backtracking in chapter 1 used BOUND = 7 and also
checked to see if a tile configuration had been visited previously . Note that the
recursive algorithm does not remember all databases that it visited previously .
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PRODUCTION SYSTEMS AND AI
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