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 42
Briefly , we can illustrate how the structure - proposing rules work by a simple
example . Let us suppose that we are given the chemical formula C3H12 . Our
production system proposes some candidate structures for this compound . ( Not
all of ...
Briefly , we can illustrate how the structure - proposing rules work by a simple
example . Let us suppose that we are given the chemical formula C3H12 . Our
production system proposes some candidate structures for this compound . ( Not
all of ...
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 ...
Page 299
Let us see how STRIPS might solve a rather simple block - stacking problem .
Suppose the goal is ( ON ( C , B ) and ON ( A , C ) ] , and the initial state is as
shown in Figure 7 . 1 . We note that this goal can be simply accomplished by
putting C ...
Let us see how STRIPS might solve a rather simple block - stacking problem .
Suppose the goal is ( ON ( C , B ) and ON ( A , C ) ] , and the initial state is as
shown in Figure 7 . 1 . We note that this goal can be simply accomplished by
putting C ...
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Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
10 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 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 |