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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... in AI , we next describe some example systems . Each is illustrative only ... in backward systems . 6.2.5.1 . An Information Retrieval System . Let us imagine that ... WORKS - IN ( P - D , JOE - SMITH ) Joe Smith works in the Purchasing ...
Nils J. Nilsson. R1 : MANAGER ( x , y ) ⇒ WORKS - IN ( x , y ) R2 : [ WORKS - IN ( x , y ) ^ MANAGER ( x , z ) ] BOSS - OF ( y , z ) ( A more precise formulation might also state that a person cannot be his own boss . ) R3 : [ WORKS - IN ...
Nils J. Nilsson. ( If y works in x and z is the manager of x , then z is the boss of y ) . ( Note that the B - rule ... ( WORKS - IN ? z $ y ) ASSERT ( HAPPY $ x ) RETURN ( Happy is the person with a working spouse . ) BR3 ( HAPPY ? x ) ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
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