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 44
Page 99
In one case , a parent node labeled by a compound database has a set of AND
successor nodes , each labeling one of the component databases . In the other
case , a parent node labeled by a component database has a set of OR
successor ...
In one case , a parent node labeled by a compound database has a set of AND
successor nodes , each labeling one of the component databases . In the other
case , a parent node labeled by a component database has a set of OR
successor ...
Page 210
This expression , in turn , corresponds to the solution graph terminating in the
literal nodes labeled by R ( A ) and Q ( x ) . If the same rule is applied more than
once , it is important that each application use renamed variables . Otherwise ,
we ...
This expression , in turn , corresponds to the solution graph terminating in the
literal nodes labeled by R ( A ) and Q ( x ) . If the same rule is applied more than
once , it is important that each application use renamed variables . Otherwise ,
we ...
Page 215
Such a B - rule is applicable to an AND / OR graph representing a goal wff if that
graph contains a literal node labeled by L ' that unifies with L . The result of
applying the rule is to add a match arc from the node labeled by L ' to a new ...
Such a B - rule is applicable to an AND / OR graph representing a goal wff if that
graph contains a literal node labeled by L ' that unifies with L . The result of
applying the rule is to add a match arc from the node labeled by L ' to a new ...
What people are saying - Write a review
We haven't found any reviews in the usual places.
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(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 global database 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 |