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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... given representation . This experience allows us to recognize the occurrence of simplifying notions , such as symmetries , or useful sequences of rules that ought to be combined into macro - rules . For example , an initial ...
... given by k ( n , t1 ) . We let h * ( n ) be the minimum of all of the k ( n , t , ) over the entire set of goal nodes { 4 } . Thus , h * ( n ) is the cost of the minimal cost path from n to a goal node , and any path from node n to a ...
... given action in a given state , that is , the preconditions of the action match that state description . PACT ( a , s ) states that it is possible to perform action a in state s . For our action trans , we thus have : 12 { HOLDS [ clear ...
Contents
PROLOGUE | 1 |
PRODUCTION Systems and AI | 17 |
SEARCH Strategies FOR | 53 |
Copyright | |
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