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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... consistent solution graphs of the transformed AND / OR graph . 6.2.3 . THE TERMINATION CONDITION The fact ... consistent solution graph terminating in fact nodes . Again , a consistent solution graph is one in which the match arc ...
... consistent solution graph for this problem in Figure 6.10 . The fact nodes are shown double - boxed , and rule applications are labeled by the rule number . To verify the consistency of this solution graph , we compute the unifying ...
Nils J. Nilsson. then checking it for consistency . If this candidate graph is not consistent , the search must continue until a consistent one is found . A more sophisticated strategy would involve checking for consistency as the ...
Contents
PROLOGUE | 1 |
PRODUCTION Systems and AI | 17 |
SEARCH Strategies FOR | 53 |
Copyright | |
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