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 210
This expression , in turn , corresponds to the solution graph terminating in the
literal nodes labeled by R ( A ) and Q ( x ) . If the same rule is applied more than
once , it is important that each application use renamed variables . Otherwise ,
we ...
This expression , in turn , corresponds to the solution graph terminating in the
literal nodes labeled by R ( A ) and Q ( x ) . If the same rule is applied more than
once , it is important that each application use renamed variables . Otherwise ,
we ...
Page 215
Such a B - rule is applicable to an AND / OR graph representing a goal wff if that
graph contains a literal node labeled by L ' that unifies with L . The result of
applying the rule is to add a match arc from the node labeled by L ' to a new ...
Such a B - rule is applicable to an AND / OR graph representing a goal wff if that
graph contains a literal node labeled by L ' that unifies with L . The result of
applying the rule is to add a match arc from the node labeled by L ' to a new ...
Page 373
2 are all labeled by constant symbols . We can also accommocate variable nodes
; these are labeled by lower case letters near the end of the alphabet ( e . g . , . . . ,
x , y , z ) . Again , the variables are standardized apart and are assumed to be ...
2 are all labeled by constant symbols . We can also accommocate variable nodes
; these are labeled by lower case letters near the end of the alphabet ( e . g . , . . . ,
x , y , z ) . Again , the variables are standardized apart and are assumed to be ...
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Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AL | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
12 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 backward block called chapter clauses CLEAR(C complete component condition conjunction 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 wff HANDEMPTY heuristic implication important initial instance involves JOHN knowledge labeled language literals logically 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 resolvent 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 |