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 all of the substitutions labeling the match arcs in the solution graph . For Figure 6.10 , we must compute the unifying composition of ( { x / x5 } , { MYRTLE / x } , { FIDO / y } , { x / y2 , y / x2 } , { FIDO ...
... 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 ...
Contents
PROLOGUE | 1 |
PRODUCTION Systems and AI | 17 |
SEARCH Strategies FOR | 53 |
Copyright | |
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