The Resource Artificial intelligence, Elaine Rich

Artificial intelligence, Elaine Rich

Label
Artificial intelligence
Title
Artificial intelligence
Statement of responsibility
Elaine Rich
Creator
Subject
Language
eng
Member of
Cataloging source
DLC
http://library.link/vocab/creatorName
Rich, Elaine
Illustrations
illustrations
Index
index present
LC call number
Q335
LC item number
.R53 1983
Literary form
non fiction
Nature of contents
bibliography
Series statement
  • McGraw-Hill series in artificial intelligence.
  • McGraw-Hill computer science series
http://library.link/vocab/subjectName
  • Artificial intelligence
  • apprentissage
  • perception
  • compréhension langage naturel
  • système expert
  • jeu informatique
  • résolution problème
  • représentation connaissance
  • Intelligence artificielle
  • Artificial intelligence
  • Kunstmatige intelligentie
  • Intelligence artificielle
Label
Artificial intelligence, Elaine Rich
Instantiates
Publication
Note
Includes indexes
Bibliography note
Bibliography: p. 412-426
Carrier category
volume
Carrier category code
nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • One Final Word
  • Problems, Problem Spaces, and Search
  • Defining the Problem as a State Space Search
  • Production Systems
  • Problem Characteristics
  • Production System Characteristics
  • Issues in the Design of Search Programs
  • Heuristic Search Techniques
  • Generate-and-Test
  • Hill Climbing
  • Problems and Search
  • Best-First Search
  • Problem Reduction
  • Constraint Satisfaction
  • Means-Ends Analysis
  • Knowledge Representation
  • Knowledge Representation Issues
  • Representations and Mappings
  • Approaches to Knowledge Representation
  • Issues in Knowledge Representation
  • The Frame Problem
  • What Is Artificial Intelligence?
  • Using Predicate Logic
  • Representing Simple Facts in Logic
  • Representing Instance and Isa Relationships
  • Computable Functions and Predicates
  • Resolution
  • Natural Deduction
  • Representing Knowledge Using Rules
  • Procedural versus Declarative Knowledge
  • Logic Programming
  • Forward versus Backward Reasoning
  • The AI Problems
  • Matching
  • Control Knowledge
  • Symbolic Reasoning under Uncertainty
  • Introduction to Nonmonotonic Reasoning
  • Logics for Nonmonotonic Reasoning
  • Implementation Issues
  • Augmenting a Problem Solver
  • Implementation: Depth-First Search
  • Implementation: Breadth-First Search
  • Statistical Reasoning
  • The Underlying Assumption
  • Probability and Bayes' Theorem
  • Certainty Factors and Rule-Based Systems
  • Bayesian Networks
  • What Is an AI Technique?
  • The Level of the Model
  • Criteria for Success
  • Some General References
Dimensions
24 cm.
Extent
xii, 436 pages
Isbn
9780070522619
Lccn
82022941
Media category
unmediated
Media MARC source
rdamedia
Media type code
n
Other physical details
illustrations
System control number
(OCoLC)9066521
Label
Artificial intelligence, Elaine Rich
Publication
Note
Includes indexes
Bibliography note
Bibliography: p. 412-426
Carrier category
volume
Carrier category code
nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • One Final Word
  • Problems, Problem Spaces, and Search
  • Defining the Problem as a State Space Search
  • Production Systems
  • Problem Characteristics
  • Production System Characteristics
  • Issues in the Design of Search Programs
  • Heuristic Search Techniques
  • Generate-and-Test
  • Hill Climbing
  • Problems and Search
  • Best-First Search
  • Problem Reduction
  • Constraint Satisfaction
  • Means-Ends Analysis
  • Knowledge Representation
  • Knowledge Representation Issues
  • Representations and Mappings
  • Approaches to Knowledge Representation
  • Issues in Knowledge Representation
  • The Frame Problem
  • What Is Artificial Intelligence?
  • Using Predicate Logic
  • Representing Simple Facts in Logic
  • Representing Instance and Isa Relationships
  • Computable Functions and Predicates
  • Resolution
  • Natural Deduction
  • Representing Knowledge Using Rules
  • Procedural versus Declarative Knowledge
  • Logic Programming
  • Forward versus Backward Reasoning
  • The AI Problems
  • Matching
  • Control Knowledge
  • Symbolic Reasoning under Uncertainty
  • Introduction to Nonmonotonic Reasoning
  • Logics for Nonmonotonic Reasoning
  • Implementation Issues
  • Augmenting a Problem Solver
  • Implementation: Depth-First Search
  • Implementation: Breadth-First Search
  • Statistical Reasoning
  • The Underlying Assumption
  • Probability and Bayes' Theorem
  • Certainty Factors and Rule-Based Systems
  • Bayesian Networks
  • What Is an AI Technique?
  • The Level of the Model
  • Criteria for Success
  • Some General References
Dimensions
24 cm.
Extent
xii, 436 pages
Isbn
9780070522619
Lccn
82022941
Media category
unmediated
Media MARC source
rdamedia
Media type code
n
Other physical details
illustrations
System control number
(OCoLC)9066521

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