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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Page 257
... systems that use both B - rules and F - rules because , for these , both the fact and goal graphs change dynamically , making it impossible to tell at any ... RULE - BASED DEDUCTION SYSTEMS Control Knowledge For Rule-Based Deduction Systems.
... systems that use both B - rules and F - rules because , for these , both the fact and goal graphs change dynamically , making it impossible to tell at any ... RULE - BASED DEDUCTION SYSTEMS Control Knowledge For Rule-Based Deduction Systems.
Page 268
Nils J. Nilsson. solution " theorem proving . Examples of some nonresolution systems include those of Bledsoe and Tyson ( 1978 ) , Reiter ( 1976 ) , Bibel and Schreiber ( 1975 ) , Nevins ( 1974 ) , Wilkins ... RULE - BASED DEDUCTION SYSTEMS.
Nils J. Nilsson. solution " theorem proving . Examples of some nonresolution systems include those of Bledsoe and Tyson ( 1978 ) , Reiter ( 1976 ) , Bibel and Schreiber ( 1975 ) , Nevins ( 1974 ) , Wilkins ... RULE - BASED DEDUCTION SYSTEMS.
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... rule - based deduction systems , 199- 203 , 206 Fact node , 215 Fact object , 379 Facts , in rule - based deduction systems , FOL , 426 195 Forward robot problem - solving system , 281-282 Forward rule - based deduction system , 196 ...
... rule - based deduction systems , 199- 203 , 206 Fact node , 215 Fact object , 379 Facts , in rule - based deduction systems , FOL , 426 195 Forward robot problem - solving system , 281-282 Forward rule - based deduction system , 196 ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
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Common terms and phrases
achieve actions algorithm AND/OR graph answer applied arcs Artificial Intelligence assume attempt backtracking backward block called chapter clause CLEAR CLEAR(C complete component condition consider consistent contains control strategy corresponding cost database deduction Deleters described direction discussed evaluation example expression F-rule fact Figure formula function given global database goal goal stack goal wff HANDEMPTY heuristic important initial involves JOHN knowledge labeled language literals logic match methods move namely node Note obtained occur ONTABLE(A operation path possible precondition predicate calculus problem procedure production system proof prove quantified reasoning refutation represent representation resolution result robot rule satisfied selected sequence shown in Figure simple solution graph solve specify statement step STRIPS structure subgoal substitutions successors Suppose symbols termination theorem unifying unit University variables