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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Nils J. Nilsson. The notions of a consistent set of substitutions and a unifying composition of substitutions are defined as follows . Suppose we have a set of substitutions , { u1 , U2 , ... , u „ } . Each u , is , in turn , a set of ...
... unifying composition of the substitutions in the graph on the left includes the substitution { ( if S ( A , B ) , A / x , B / y ) } . The unifying composition of the substitutions in the graph on the right includes the substitution ...
... Unification , 140-144 algorithm for , 142-143 references for , 156 of structured objects ( see Matching ) Unification set , in answer extraction , 179 Unifying composition , of substitutions , 207-208 , 268 Unit - preference strategy ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
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