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 365
We notice that the units above share a common structure . 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 ...
We notice that the units above share a common structure . 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 ...
Page 388
In the unit formalism , we represent implications that assert properties about
every member of a set by a special kind of unit called a delineation unit . Such a
unit describes ( delineates ) each of the individuals in a set denoted by another
unit .
In the unit formalism , we represent implications that assert properties about
every member of a set by a special kind of unit called a delineation unit . Such a
unit describes ( delineates ) each of the individuals in a set denoted by another
unit .
Page 402
antecedent ( ANTE ) and consequent ( CONSE ) are lists of units ( possibly
containing variables ) . When a unit rule is used in the forward direction , if all of
the units in the ANTE ( regarded as goal units ) are matched by fact units , then
the ...
antecedent ( ANTE ) and consequent ( CONSE ) are lists of units ( possibly
containing variables ) . When a unit rule is used in the forward direction , if all of
the units in the ANTE ( regarded as goal units ) are matched by fact units , then
the ...
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Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
9 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 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 |