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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... X and Y whose initial contents are A and B respectively . We might represent this situation by the state description [ CONT ( X , A ) ^ CONT ( Y , B ) ] where CONT ( X , A ) , for example , means that register X has content A ( i.e. , ...
... CONT ( u , t ) D : CONT ( u , t ) A : CONT ( u , s ) Our goal is to achieve [ CONT ( X , B ) ^ CONT ( Y , A ) ] from the initial state [ CONT ( X , A ) ^ CONT ( Y , B ) ^ CONT ( Z , 0 ) ] . A difficulty is encountered at the point at ...
... X ) CONT ( X , A ) CONT ( Y , B ) CONT ( X , A ) ^ CONT ( Y , B ) ^ CONT ( r1 , A ) A ~ EQUAL ( rl , X ) assign ( X , Y , A , B ) CONT ( X , B ) CONT ( Y , t1 ) CONT ( r1 , A ) ^ CONT ( Y , t1 ) assign ( Y , rl , tl , A ) CONT ( Y , A ) ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
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