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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Results 1-3 of 82
... Figure 5.2 with Figure 5.3 , we see that set of support produces fewer clauses at each level than does unconstrained breadth - first resolution . Typically , the set - of - support strategy results in slower growth of the clause set and ...
... Figure 5.4 we show how a refutation graph would be generated using this strategy on our example problem . Note that the first level of Figure 5.4 is the same as the first level of Figure 5.2 . At subsequent levels , the linear - input ...
... Figure 9.10 , but it is unsuccessful in Figure 9.11 . In any representational scheme there are often several alternative representations for basically the same information . Since our definition of structure matching depends on the ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
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