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 35
In Figure 1.8 we have three rules , R1 , R2 , and R3 , that are applicable to the database denoted by SO . After applying any one of these rules , all three rules are still applicable to the resulting databases ; after applying any pair ...
In Figure 1.8 we have three rules , R1 , R2 , and R3 , that are applicable to the database denoted by SO . After applying any one of these rules , all three rules are still applicable to the resulting databases ; after applying any pair ...
Page 41
Nodes labeled by these component databases have successor nodes labeled by the results of rule applications . These successor nodes are called OR nodes because in order to process a component database to termination , the database ...
Nodes labeled by these component databases have successor nodes labeled by the results of rule applications . These successor nodes are called OR nodes because in order to process a component database to termination , the database ...
Page 110
These rules are to be applied to a global database consisting of a set of symbols . A rule is applicable if the global database contains a symbol matching its left - hand side . The effect on the global database of applying the rule is ...
These rules are to be applied to a global database consisting of a set of symbols . A rule is applicable if the global database contains a symbol matching its left - hand side . The effect on the global database of applying the rule is ...
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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 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 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 |