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
In most Al applications , the information available to the control strategy is not
sufficient to permit selection of the most ... Efficient control strategies require
enough knowledge about the problem being solved so that the rule selected in
step 4 ...
In most Al applications , the information available to the control strategy is not
sufficient to permit selection of the most ... Efficient control strategies require
enough knowledge about the problem being solved so that the rule selected in
step 4 ...
Page 25
A rule is selected , and if it doesn ' t lead to a solution , the intervening steps are “
forgotten , ” and another rule is selected instead . ... strategy can be used
regardless of how much or how little knowledge is available to bear on rule
selection .
A rule is selected , and if it doesn ' t lead to a solution , the intervening steps are “
forgotten , ” and another rule is selected instead . ... strategy can be used
regardless of how much or how little knowledge is available to bear on rule
selection .
Page 65
The procedure orders the nodes on OPEN in step 8 so that the “ best ” of these is
selected for expansion in step 4 . This ordering can be based on a variety of
heuristic ideas ( discussed below ) or on various arbitrary criteria . Whenever the
...
The procedure orders the nodes on OPEN in step 8 so that the “ best ” of these is
selected for expansion in step 4 . This ordering can be based on a variety of
heuristic ideas ( discussed below ) or on various arbitrary criteria . Whenever the
...
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Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
9 other sections not shown
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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(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 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
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 |