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. |
From inside the book
Results 1-3 of 59
Page 60
... attempt to place a queen in that row would fail . In such a circumstance , BACKTRACK would attempt to relocate the queen in row 5 , moving it eventually to column 8. But a more detailed analysis of the reasons for the row - 6 failures ...
... attempt to place a queen in that row would fail . In such a circumstance , BACKTRACK would attempt to relocate the queen in row 5 , moving it eventually to column 8. But a more detailed analysis of the reasons for the row - 6 failures ...
Page 291
... attempt to deduce a contradiction . If a goal expression is contradictory , it cannot be achieved . Checking for the consistency of goals is important in order to avoid wasting effort attempting to achieve those that are impossible ...
... attempt to deduce a contradiction . If a goal expression is contradictory , it cannot be achieved . Checking for the consistency of goals is important in order to avoid wasting effort attempting to achieve those that are impossible ...
Page 397
... attempt to find a match must look back through al arcs incident on N1 , a2 arcs incident on N2 , etc. ( We assume that our implementation of the network makes it easy to trace through arcs in the " reverse " direction . ) Some of these ...
... attempt to find a match must look back through al arcs incident on N1 , a2 arcs incident on N2 , etc. ( We assume that our implementation of the network makes it easy to trace through arcs in the " reverse " direction . ) Some of these ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
10 other sections not shown
Other editions - View all
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 |