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 176
... answer to the question . If the question can be answered from the facts given , the goal wff created in this manner will logically follow from S. After obtaining a proof , we then try to extract an instance of the existentially ...
... answer to the question . If the question can be answered from the facts given , the goal wff created in this manner will logically follow from S. After obtaining a proof , we then try to extract an instance of the existentially ...
Page 178
... answer to the problem . We note that the answer statement has a form similar to that of the goal wff . In this case , the only difference is that we have a constant ( the answer ) in the answer statement in the place of the ...
... answer to the problem . We note that the answer statement has a form similar to that of the goal wff . In this case , the only difference is that we have a constant ( the answer ) in the answer statement in the place of the ...
Page 188
... answer statement extracted by this process . Obviously , the answer statement depends upon the refutation from which it is extracted . Several different refutations might exist for the same problem ; from each refutation we could ...
... answer statement extracted by this process . Obviously , the answer statement depends upon the refutation from which it is extracted . Several different refutations might exist for the same problem ; from each refutation we could ...
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 goal goal node 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