Principles of Artificial IntelligenceA 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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... backtracking strategy can be used regardless of how much or how little knowledge is available to bear on rule selection . If no knowledge is available , rules can be selected according to some arbitrary scheme . Ultimately , control ...
... 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 - puzzle . For problems requiring only a small amount of search ...
... backtracking phenomenon , consider using BACKTRACK to solve the 8 - queens problem . In this problem , we must place 8 queens on an 8 x 8 board so that none of them can capture any others . Suppose we are at a stage of the algorithm in ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
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