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 193
The logical content of the mathematician ' s statement is , of course , independent
of the many equivalent predicate calculus forms that could represent it . But the
way in which English statements are worded often carries extra - logical , or ...
The logical content of the mathematician ' s statement is , of course , independent
of the many equivalent predicate calculus forms that could represent it . But the
way in which English statements are worded often carries extra - logical , or ...
Page 376
7 we show an example of a semantic network with both a disjunctive and a
negative enclosure . This semantic network is equivalent to the following logical
formula : { EL ( BI , BUYING - EVENTS ) A EQ [ buyer ( B1 ) , JOHN ) 1 EQ [
bought ( B1 ) ...
7 we show an example of a semantic network with both a disjunctive and a
negative enclosure . This semantic network is equivalent to the following logical
formula : { EL ( BI , BUYING - EVENTS ) A EQ [ buyer ( B1 ) , JOHN ) 1 EQ [
bought ( B1 ) ...
Page 412
Winograd ( 1975 ) presents a readable discussion of some of the advantages of
frame - based representations . Hayes ( 1977 , 1979 ) discusses the relationships
between predicate logic and frame - based representations . Our treatment of ...
Winograd ( 1975 ) presents a readable discussion of some of the advantages of
frame - based representations . Hayes ( 1977 , 1979 ) discusses the relationships
between predicate logic and frame - based representations . Our treatment of ...
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Contents
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
SEARCH STRATEGIES FOR DECOMPOSABLE | 99 |
Copyright | |
10 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 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 search tree selected sequence shown in Figure simple solution graph solve specify statement step STRIPS structure subgoal substitutions successors Suppose symbols termination theorem tree 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 |