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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... selected in step 4 has a good chance of being the most appropriate one . We distinguish two major kinds of control strategies : irrevocable and tentative . In an irrevocable control regime , an applicable rule is selected and applied ...
... selection . If no knowledge is available , rules can be selected according to some arbitrary scheme . Ultimately , control will backtrack to select the appropriate rule . Obviously , if good rule - selection knowledge can be used ...
... selected for expansion . The nodes on CLOSED are either tip nodes selected for expansion that generated no successors in the search graph or nontip nodes of the search tree . The procedure orders the nodes on OPEN in step 8 so that the ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
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