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 Intelligence evolved 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 17
Our point is that a system consisting of separate database , operations , and control components represents an appropriate ... of these computational components and thus seem to capture the essence of operation of many AI systems .
Our point is that a system consisting of separate database , operations , and control components represents an appropriate ... of these computational components and thus seem to capture the essence of operation of many AI systems .
Page 105
13 end 14 end Algorithm AO * can best be understood as a repetition of the following two major operations . First , a top - down , graph - growing operation ( steps 4-6 ) finds the best partial ...
13 end 14 end Algorithm AO * can best be understood as a repetition of the following two major operations . First , a top - down , graph - growing operation ( steps 4-6 ) finds the best partial ...
Page 196
Combined forward and backward operation is also possible . The details about rule operation and termination are explained in the next few pages . This sort of theorem - proving system is a direct system rather than a refutation system .
Combined forward and backward operation is also possible . The details about rule operation and termination are explained in the next few pages . This sort of theorem - proving system is a direct system rather than a refutation system .
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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 assertions assume attempt backtracking backward block called chapter clause CLEAR(C complete component condition consider consistent contains control strategy corresponding cost database Deleters described direction discussed efficient evaluation example expanded expression F-rule fact Figure formula function given global database goal goal node goal stack goal wff HANDEMPTY heuristic important initial Intelligence involves JOHN knowledge labeled language literals 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 unifying unit universal variables
Bibliographic information
| Title | Principles of Artificial Intelligence |
| Author | Nils J. Nilsson |
| Edition | illustrated, reprint |
| Publisher | Morgan Kaufmann Publishers, 1986 |
| Original from | the University of Virginia |
| Digitized | 27 Jul 2009 |
| ISBN | 0934613109, 9780934613101 |
| Length | 476 pages |
| Subjects | › Reference / General |
| Export Citation | BiBTeX EndNote RefMan |