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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... DEDUCTION SYSTEMS 6.1 . 6.2 . 6.3 . 6.4 . 6.5 . 6.6 . A Forward Deduction System 196 A Backward Deduction System 212 " Resolving " Within AND / OR Graphs 234 Computation Deductions and Program Synthesis 241 A Combination Forward and ...
... deduction systems . The use of a metasystem , with its own rules , to control a deduction system has been suggested by several researchers , including Davis ( 1977 ) , de Kleer et al . ( 1979 ) , and Weyhrauch ( 1980 ) . Hayes ( 1973b ) ...
... deduction system to obtain a proof for the goal wff : [ ( 3x ) ( Vy ) P ( x , y ) ⇒ ( Vy ) ( 3x ) P ( x , y ) ] 6.7 Propose a heuristic search method to guide rule selection in rule - based deduction systems . 6.8 Although we have used ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
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