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 66
... tree as a successor of n . The search graph is the search tree throughout the execution of the algorithm , and there is no need to change parents of the nodes in T. If the implicit graph being searched is not a tree , it is possible ...
... tree as a successor of n . The search graph is the search tree throughout the execution of the algorithm , and there is no need to change parents of the nodes in T. If the implicit graph being searched is not a tree , it is possible ...
Page 115
... tree , for example , can be obtained by noting that the start node has nine successors , these in turn have eight , etc. , yielding 9 ! ( or 362,880 ) nodes at the bottom of the tree . Many of the paths end in terminal nodes at ...
... tree , for example , can be obtained by noting that the start node has nine successors , these in turn have eight , etc. , yielding 9 ! ( or 362,880 ) nodes at the bottom of the tree . Many of the paths end in terminal nodes at ...
Page 188
... tree are constrained by corresponding unification sets , the substitutions used in the modified tree can be more general than those in the original refutation tree . In conclusion , the steps of the answer extraction process can be ...
... tree are constrained by corresponding unification sets , the substitutions used in the modified tree can be more general than those in the original refutation tree . In conclusion , the steps of the answer extraction process can be ...
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