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 21
... selected in step 4 has a good chance of being the most appropriate one . We distinguish two major kinds of control strategies : irrevocable and tentative . In an irrevocable control regime , an applicable rule is selected and applied ...
... selected in step 4 has a good chance of being the most appropriate one . We distinguish two major kinds of control strategies : irrevocable and tentative . In an irrevocable control regime , an applicable rule is selected and applied ...
Page 25
... selection . If no knowledge is available , rules can be selected according to some arbitrary scheme . Ultimately , control will backtrack to select the appropriate rule . Obviously , if good rule - selection knowledge can be used ...
... selection . If no knowledge is available , rules can be selected according to some arbitrary scheme . Ultimately , control will backtrack to select the appropriate rule . Obviously , if good rule - selection knowledge can be used ...
Page 65
... selected for expansion . The nodes on CLOSED are either tip nodes selected for expansion that generated no successors in the search graph or nontip nodes of the search tree . The procedure orders the nodes on OPEN in step 8 so that the ...
... selected for expansion . The nodes on CLOSED are either tip nodes selected for expansion that generated no successors in the search graph or nontip nodes of the search tree . The procedure orders the nodes on OPEN in step 8 so that the ...
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 efficient evaluation example expression F-rule fact Figure formula function given 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
Bibliographic information
| Title | Principles of Artificial Intelligence Symbolic computation |
| Author | Nils J. Nilsson |
| Edition | illustrated |
| Publisher | Tioga Publishing Company, 1980 |
| Original from | the University of Michigan |
| Digitized | 15 Nov 2007 |
| ISBN | 0935382011, 9780935382013 |
| Length | 476 pages |
| Export Citation | BiBTeX EndNote RefMan |