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. |
From inside the book
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... contains many references . Michie's ( 1974 ) book contains several of his articles on AI . Raphael's ( 1975 ) book and Winston's ( 1977 ) book are easy - to - read and elementary treatments of AI ideas . The latter contains an excellent ...
... contain variables . The rule is applicable if the AND / OR graph contains a literal node L ' that unifies with L. Suppose the mgu is u . Then , application of this rule extends the graph ( just as in the propositional calculus case ) by ...
... contain instances of the precon- ditions of that F - rule . But if the goal expression contains other literals ( besides L ) , then the subgoal expression must also contain other literals , which after application of the F - rule ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
10 other sections not shown