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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... 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 ...
... 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 ) ...
... Y , A , B ) match facts . Next , RSTRIPS matches CONT ( Y , t1 ) against CONT ( Y , B ) and applies assign ( Y , Z , B , A ) . The marker is then moved to the bottom of the stack , and the process terminates with the sequence { assign ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
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