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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... shown in Figure 3.9 . There are now two possible " best " moves ; suppose MAX makes the one indicated . Now MIN makes the move that avoids his immediate defeat , yielding 1010 X MAX searches again , yielding the tree shown in Figure ...
... shown in Figure 6.5 . Now , if we apply the rule : P ( A , B ) ⇒ [ S ( A ) ▽ X ( B ) ] to this AND / OR graph , we obtain the AND / OR graph shown in Figure 6.6 . The AND / OR graph shown in Figure 6.6 has two solution graphs that ...
... shown in Figure 7.1 ( with just one hand now ) . In Figure 8.6 , we show the result of phase 1 , with the adders and deleters listed . Here , we obviously have a solution that cannot be put into noninteractive form by adding additional ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
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