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 32
This grammar is too simple to be useful in analyzing most English sentences , but
it could be expanded to make it a bit more realistic . Suppose we wanted to
determine whether or not the following string of symbols is a sentence in the ...
This grammar is too simple to be useful in analyzing most English sentences , but
it could be expanded to make it a bit more realistic . Suppose we wanted to
determine whether or not the following string of symbols is a sentence in the ...
Page 58
( The reader is encouraged to try working through BACKTRACK by hand using
this simple test for DEADEND . ) Altogether , the algorithm backtracks 22 times
before finding a solution ; even the very first rule applied must ultimately be taken
...
( The reader is encouraged to try working through BACKTRACK by hand using
this simple test for DEADEND . ) Altogether , the algorithm backtracks 22 times
before finding a solution ; even the very first rule applied must ultimately be taken
...
Page 115
THE MINIMAX PROCEDURE Many simple games ( as well as some “ ending ”
sequences of more complex games ) can be handled by search techniques that
are analogous to those used for finding AND / OR solution graphs . The solution ...
THE MINIMAX PROCEDURE Many simple games ( as well as some “ ending ”
sequences of more complex games ) can be handled by search techniques that
are analogous to those used for finding AND / OR solution graphs . The solution ...
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Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
8 other sections not shown
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Common terms and phrases
achieve actions algorithm AND/OR graph answer applied arcs Artificial Intelligence assertions 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 evaluation example expression F-rule fact Figure formula function given goal goal node 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 |