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 92
Page 48
... called declarative knowledge . In an intelligent information retrieval system , for example , the declarative knowledge would include the main database of specific facts . The knowledge about a problem that is represented in the rules ...
... called declarative knowledge . In an intelligent information retrieval system , for example , the declarative knowledge would include the main database of specific facts . The knowledge about a problem that is represented in the rules ...
Page 134
... called conjunctions , and each of the component formulas is called a conjunct . Any conjunction composed of wffs is also a wff . The symbol " V " is used to represent inclusive “ or . " For example , the sentence " John plays ...
... called conjunctions , and each of the component formulas is called a conjunct . Any conjunction composed of wffs is also a wff . The symbol " V " is used to represent inclusive “ or . " For example , the sentence " John plays ...
Page 135
... called the antecedent , and the right - hand side is called the consequent . If both the antecedent and the consequent are wffs , then the implication is a wff also . An implication has value T if either the consequent has value T ...
... called the antecedent , and the right - hand side is called the consequent . If both the antecedent and the consequent are wffs , then the implication is a wff also . An implication has value T if either the consequent has value T ...
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 |