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 11
Nilsson ' s ( 1974 ) survey describes the field in the early 1970s and contains
many references . Michie ' s ( 1974 ) book contains several of his articles on Al .
Raphael ' s ( 1975 ) book and Winston ' s ( 1977 ) book are easy - to - read and ...
Nilsson ' s ( 1974 ) survey describes the field in the early 1970s and contains
many references . Michie ' s ( 1974 ) book contains several of his articles on Al .
Raphael ' s ( 1975 ) book and Winston ' s ( 1977 ) book are easy - to - read and ...
Page 206
Now we consider the process of applying a rule of the form ( L W ) to an AND /
OR graph , where L is a literal , W is a wff in AND / OR form , and all expressions
might contain variables . The rule is applicable if the AND / OR graph contains a ...
Now we consider the process of applying a rule of the form ( L W ) to an AND /
OR graph , where L is a literal , W is a wff in AND / OR form , and all expressions
might contain variables . The rule is applicable if the AND / OR graph contains a ...
Page 288
Therefore , if a goal expression contains a literal , L , that unifies with one of the
literals in the add list of an F - rule , then ... produced by a backward application of
an F - rule must certainly contain instances of the preconditions of that F - rule .
Therefore , if a goal expression contains a literal , L , that unifies with one of the
literals in the add list of an F - rule , then ... produced by a backward application of
an F - rule must certainly contain instances of the preconditions of that F - rule .
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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 |