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 149
Variable symbols may be renamed so that no variable symbol appears in more
than one clause . Recall that ( Wx ) [ P ( x ) ^ Q ( x ) ] is equivalent to [ ( Vx ) P ( x )
^ ( Vy ) Q ( y ) ] . This process is sometimes called standardizing the variables ...
Variable symbols may be renamed so that no variable symbol appears in more
than one clause . Recall that ( Wx ) [ P ( x ) ^ Q ( x ) ] is equivalent to [ ( Vx ) P ( x )
^ ( Vy ) Q ( y ) ] . This process is sometimes called standardizing the variables ...
Page 151
helpful to represent a clause by a set of literals ( with the disjunction between the
literals in the set understood ) . Let the prospective parent clauses be given by {
Li } and { M } } and let us assume that the variables occurring in these two ...
helpful to represent a clause by a set of literals ( with the disjunction between the
literals in the set understood ) . Let the prospective parent clauses be given by {
Li } and { M } } and let us assume that the variables occurring in these two ...
Page 174
Typically , not all of the literals in a set of clauses can be evaluated , but the
clause set can nevertheless be simplified by such evaluations . If a literal in a
clause evaluates to T , the entire clause can be eliminated without affecting the ...
Typically , not all of the literals in a set of clauses can be evaluated , but the
clause set can nevertheless be simplified by such evaluations . If a literal in a
clause evaluates to T , the entire clause can be eliminated without affecting the ...
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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 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 efficient evaluation example expression F-rule fact Figure formula function given global database 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 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 |