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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... F - rule in the sequence . Let the top row be called the first row . If there are N F - rules in the plan sequence ... F - rule that survive as preconditions of the i - th F - rule . The entries in cell ( i , 0 ) , for i < N + 1 , are ...
... rules that transform goal expressions into subgoal expressions . One strategy is to use B - rules that are based on the F - rules that we have just discussed . A B - rule that transforms a goal G into a subgoal G ' is logically based on ...
... F - rule j ; thus the order in which deleters occur relative to F - rule j is important . If the deleter is a descendant of rule j in the graph , we have special problems . ( We are not concerned about rule j itself or any of its ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
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