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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... rules to be used on them and the order in which these B - rules should be applied . Similarly , whenever a rule of the form P⇒ [ Q1 ^ ...... . ^ QN ] is used as an F - rule , he may want to specify an additional set of F - rules that ...
... rule that transforms a goal G into a subgoal G ' is logically based on the corresponding F - rule that when applied to a state description matching G ' produces a state description matching G. We know that the application of an F - rule ...
... rule j in the graph nor rule j itself . This set is called the deleters of C1 . Any deleter of C1 , might ( as an F - rule ) destroy this precondition for F - rule j ; thus the order in which deleters occur relative to F - rule j is ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
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