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 277
Consistent with our restrictions on the form of goal wffs , we assume here that the
preconditions of our F - rules consist of a conjunction of literals . Variables in
these precondition formulas are assumed to have existential quantification .
Consistent with our restrictions on the form of goal wffs , we assume here that the
preconditions of our F - rules consist of a conjunction of literals . Variables in
these precondition formulas are assumed to have existential quantification .
Page 278
straightforward : It follows if there are literals among the facts that unify with each
of the precondition literals and if all of the mgu ' s are consistent ( that is , if these
mgu ' s have a unifying composition ) . If such a match can be found , we say that
...
straightforward : It follows if there are literals among the facts that unify with each
of the precondition literals and if all of the mgu ' s are consistent ( that is , if these
mgu ' s have a unifying composition ) . If such a match can be found , we say that
...
Page 290
In the present example , one subgoal expression would contain the precondition
of unstack ( B , C ) , and the other would contain the uninstantiated precondition
of unstack ( B , y ) conjoined with the literal ~ ( y = C ) . A related complication ...
In the present example , one subgoal expression would contain the precondition
of unstack ( B , C ) , and the other would contain the uninstantiated precondition
of unstack ( B , y ) conjoined with the literal ~ ( y = C ) . A related complication ...
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Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
8 other sections not shown
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Common terms and phrases
achieve actions algorithm AND/OR graph answer applied arcs Artificial Intelligence assertions 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 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 |