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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... applied to a database is unimportant . When these conditions are satisfied , a production system improves its efficiency by avoiding needless explo- ration of redundant solution paths that are all equivalent except for rule ordering ...
... applied . The second component of the F - rule is a list of literals ( possibly containing free variables ) called the delete list . When an F - rule is applied to a state description , the match substitution is applied to the literals ...
... applied , and the condition just under the marker , namely , CLEAR ( B ) , must now be tested . ( For clarity , we include next to our goal stacks a picture of the state produced by applying the F - rules above the marker . ) When the ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
10 other sections not shown