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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... possible instantiations . We can assume that a different successor can be created for each possible instantiation . When more than one STRIPS F - rule would achieve the top goal on the goal stack , we are again faced with a choice ...
... possible to perform 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 ...
Nils J. Nilsson. Next we state that if a given state is possible and if the preconditions of an action are satisfied in that state , then the state produced by performing that action is also possible : 13 [ POSS ( s ) ^ PACT ( u , s ) ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
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