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 33
Setting up a backward - directed production system in the case of the 8 - puzzle is
simple because the goal is described by an explicit state . We can also set up
backward - directed production systems when the goal is described by a
condition ...
Setting up a backward - directed production system in the case of the 8 - puzzle is
simple because the goal is described by an explicit state . We can also set up
backward - directed production systems when the goal is described by a
condition ...
Page 308
This formulation involved one set of assertions that described the initial state and
another set that described the effects of the various robot actions on states . To
keep track of which facts were true in which state , Green included a “ state ” or ...
This formulation involved one set of assertions that described the initial state and
another set that described the effects of the various robot actions on states . To
keep track of which facts were true in which state , Green included a “ state ” or ...
Page 365
First , an EL predicate is used to state that the object described by the unit is a
member of some set . ( If the object described by the unit had been a set itself ,
then an SS predicate would have been used to state that it was a subset of some
...
First , an EL predicate is used to state that the object described by the unit is a
member of some set . ( If the object described by the unit had been a set itself ,
then an SS predicate would have been used to state that it was a subset of some
...
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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 |