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 293
... achieve it when it occurs in subgoal descriptions . ( Some- times , of course , goal literals that already match ... achieve . Note also that node 2 is impossible to achieve because of the conjunction HOLD- ING ( B ) ɅON ( B , C ) . Node ...
... achieve it when it occurs in subgoal descriptions . ( Some- times , of course , goal literals that already match ... achieve . Note also that node 2 is impossible to achieve because of the conjunction HOLD- ING ( B ) ɅON ( B , C ) . Node ...
Page 327
... achieve this regressed goal at the point in the plan just prior to the application of stack ( A , B ) . This ... achieve ON ( B , C ) . These items are eliminated from the stack . The plan to achieve ON ( A , B ) by applying stack ( A ...
... achieve this regressed goal at the point in the plan just prior to the application of stack ( A , B ) . This ... achieve ON ( B , C ) . These items are eliminated from the stack . The plan to achieve ON ( A , B ) by applying stack ( A ...
Page 349
... achieve goals have all operated on " one level . " When working backward , for example , we investigated ways to achieve the goal condition and then to achieve all of the subgoals , and so on . In many practical situations , we might ...
... achieve goals have all operated on " one level . " When working backward , for example , we investigated ways to achieve the goal condition and then to achieve all of the subgoals , and so on . In many practical situations , we might ...
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