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. 3.5 . BIBLIOGRAPHICAL AND HISTORICAL REMARKS 3.5.1 . AND / OR GRAPHS Decomposition and AND / OR graphs have been used in a variety of applications . Hinxman ( 1976 ) discusses applications to the " stock - cutting ...
... AND / OR graph representations of goal wffs ; these are displayed in the usual manner , “ rightside up . " When we represent wffs by AND / OR graphs , we are using AND / OR graphs for a quite different purpose than that described in ...
... AND / OR graph , where L is a literal , W is a wff in AND / OR form , and all expressions might 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 ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
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