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 62
Certain pairs of nodes are connected by arcs , and these arcs are directed from
one member of the pair to the other . ... If an arc is directed from node ni to node n
; , then node n ; is said to be a successor of node ni , and node n ; is said to be a ...
Certain pairs of nodes are connected by arcs , and these arcs are directed from
one member of the pair to the other . ... If an arc is directed from node ni to node n
; , then node n ; is said to be a successor of node ni , and node n ; is said to be a ...
Page 63
We see that the problem of finding a sequence of rules transforming one
database into another is equivalent to the problem of finding a path in a graph .
Often it is convenient to assign positive costs to arcs , to represent the cost of
applying the ...
We see that the problem of finding a sequence of rules transforming one
database into another is equivalent to the problem of finding a path in a graph .
Often it is convenient to assign positive costs to arcs , to represent the cost of
applying the ...
Page 370
The predicates EQ , EL , and SS can be represented by arcs ; the tail of the arc
leaves the node representing the first argument , and the head of the arc enters
the node representing the second argument . Thus , the expression EL ( GI ...
The predicates EQ , EL , and SS can be represented by arcs ; the tail of the arc
leaves the node representing the first argument , and the head of the arc enters
the node representing the second argument . Thus , the expression EL ( GI ...
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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 |