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 88
Page 6
Many of these problems can be attacked by the methods discussed in this book . A classical example is the traveling salesman's problem , where the problem is to find a minimum distance tour , starting at one of several cities , visiting ...
Many of these problems can be attacked by the methods discussed in this book . A classical example is the traveling salesman's problem , where the problem is to find a minimum distance tour , starting at one of several cities , visiting ...
Page 7
Several of these problems ( including the traveling salesman problem ) are members of a class that computational theorists call NP - complete . Computational theorists rank the difficulty of various problems on how the worst case for ...
Several of these problems ( including the traveling salesman problem ) are members of a class that computational theorists call NP - complete . Computational theorists rank the difficulty of various problems on how the worst case for ...
Page 19
A solution to the problem is an appropriate sequence of moves , such as " move tile 6 down , move tile 8 down , ... 9 etc. " To solve a problem using a production system , we must specify the global database , the rules , and the ...
A solution to the problem is an appropriate sequence of moves , such as " move tile 6 down , move tile 8 down , ... 9 etc. " To solve a problem using a production system , we must specify the global database , the rules , and the ...
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 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 |