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 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 each ...
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 each ...
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 the time ...
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 the time ...
Page 19
A solution to the problem is an appropriate sequence of moves , such as “ move
tile 6 down , move tile 8 down , . . . , etc . ” To solve a problem using a production
system , we must specify the global database , the rules , and the control strategy
...
A solution to the problem is an appropriate sequence of moves , such as “ move
tile 6 down , move tile 8 down , . . . , etc . ” To solve a problem using a production
system , we must specify the global database , the rules , and the control strategy
...
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Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AL | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
12 other sections not shown
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Common terms and phrases
achieve actions algorithm AND/OR graph answer applied arcs Artificial Intelligence assume attempt backward block called chapter clauses CLEAR(C complete component condition conjunction consider consistent contains control strategy corresponding cost database deduction Deleters described direction discussed evaluation example expression F-rule fact Figure formula function given global database goal goal wff HANDEMPTY heuristic implication important initial instance involves JOHN knowledge labeled language literals logically 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 resolvent 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 |