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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... satisfied or not by the global database . If the precondition is satisfied , the rule can be applied . Application of the rule changes the database . The control system chooses which applicable rule should be applied and ceases ...
... satisfied , a production system improves its efficiency by avoiding needless explo- ration of redundant solution ... satisfied by D , then it is also satisfied by any database produced by applying any applicable rule to D. ( c ) The ...
... satisfied , the ƒ values of the sequence of nodes expanded by A * is nondecreasing . When the monotone restriction is not satisfied , it is possible that some node has a smaller ƒ value at expansion than that of a previously expanded ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
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