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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... graph . The initial database corresponds to a distinguished node in the graph called the start node . The start node has an outgoing connector to a set of successor nodes ... solution graph from node n 101 SEARCHING AND / OR GRAPHS.
... solution graph . Thus , the costs of the two solution graphs in Figure 3.2 are 8 and 7 if the cost of each k - connector is k . Beyond merely finding any solution graph from the start node 102 SEARCH STRATEGIES FOR DECOMPOSABLE PRODUCTION ...
... graph . ( Acyclicity of our graphs guarantees no loops in this upward propagation . ) The revised cost , q ( n ) , is an updated estimate of the cost of an optimal solution graph from n to a set of terminal nodes . Only the ancestors of ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
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