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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... state description , the negative of the number of tiles " out of place , " as compared to the goal state description . For example , the value of this function for the initial state in Figure 1.1 is -4 , and the value for the goal ...
... original state description , and those added by the various F - rules , that are components of the goal ( and that survive the entire sequence of F - rules ) . Triangle tables can easily be constructed from the initial state description ...
... Starting in the bottom row , we scan the table from left to right , looking for the first cell that contains a literal that does not match the current state description . If we scan the whole row without finding such a cell , the goal ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
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