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 viii
... CHAPTER 6 : RULE - BASED DEDUCTION SYSTEMS 193 6.1 . 6.2 . 6.3 . 6.4 . 6.5 . 6.6 . 6.7 . CHAPTER 7 : 7.1 . 7.2 . 7.3 . 7.4 . 7.5 . 7.6 . 7.7 . A Forward Deduction System 196 A Backward Deduction System 212 " Resolving " Within AND / OR ...
... CHAPTER 6 : RULE - BASED DEDUCTION SYSTEMS 193 6.1 . 6.2 . 6.3 . 6.4 . 6.5 . 6.6 . 6.7 . CHAPTER 7 : 7.1 . 7.2 . 7.3 . 7.4 . 7.5 . 7.6 . 7.7 . A Forward Deduction System 196 A Backward Deduction System 212 " Resolving " Within AND / OR ...
Page 9
... chapters 2 and 3 is on the search strategies that are useful in the control of AI systems . Chapter 2 concerns itself with heuristic methods for searching the graphs that are implicitly defined by many AI systems . Chapter 3 generalizes ...
... chapters 2 and 3 is on the search strategies that are useful in the control of AI systems . Chapter 2 concerns itself with heuristic methods for searching the graphs that are implicitly defined by many AI systems . Chapter 3 generalizes ...
Page 361
... chapter , we describe some of the specialized representations that address some of these concerns . We also confront certain representational questions that might also have been faced earlier , say in chapter 6 , but seem more ...
... chapter , we describe some of the specialized representations that address some of these concerns . We also confront certain representational questions that might also have been faced earlier , say in chapter 6 , but seem more ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
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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 |