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 Intelligence evolved 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 206
Now we consider the process of applying a rule of the form ( L⇒ W ) to an AND / OR graph , where L is a literal , W is a wff in AND / OR form , and all expressions might contain variables . The rule is applicable if the AND / OR graph ...
Now we consider the process of applying a rule of the form ( L⇒ W ) to an AND / OR graph , where L is a literal , W is a wff in AND / OR form , and all expressions might contain variables . The rule is applicable if the AND / OR graph ...
Page 352
ABSTRIPS begins by considering only conditions of highest critical- ity , namely , those with criticality value 3 in this ... Since our main goal contains two conditions of value 3 , ABSTRIPS considers one of them , say , ON ( C , B ) ...
ABSTRIPS begins by considering only conditions of highest critical- ity , namely , those with criticality value 3 in this ... Since our main goal contains two conditions of value 3 , ABSTRIPS considers one of them , say , ON ( C , B ) ...
Page 387
Before talking about how implications are used in general , we consider a frequently occurring special use : when an implication asserts properties about every member of a given set . Consider , for example , the sentence " All computer ...
Before talking about how implications are used in general , we consider a frequently occurring special use : when an implication asserts properties about every member of a given set . Consider , for example , the sentence " All computer ...
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Contents
PROLOGUE | 1 |
PRODUCTION Systems and AI | 17 |
SEARCH Strategies FOR | 53 |
Copyright | |
10 other sections not shown
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Common terms and phrases
achieve actions algorithm AND/OR graph answer applied arcs assertions assume attempt backtracking backward block called chapter clause CLEAR(C complete component condition consider consistent contains control strategy corresponding cost database Deleters described direction discussed efficient evaluation example expanded expression F-rule fact Figure formula function given global database goal goal node goal stack goal wff HANDEMPTY heuristic important initial Intelligence involves JOHN knowledge labeled language literals 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 unifying unit universal variables
Bibliographic information
| Title | Principles of Artificial Intelligence |
| Author | Nils J. Nilsson |
| Edition | illustrated, reprint |
| Publisher | Morgan Kaufmann Publishers, 1986 |
| Original from | the University of Virginia |
| Digitized | 27 Jul 2009 |
| ISBN | 0934613109, 9780934613101 |
| Length | 476 pages |
| Subjects | › Reference / General |
| Export Citation | BiBTeX EndNote RefMan |