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Handbook of Knowledge Representation : Volume 1 - Frank Van Harmelen

Handbook of Knowledge Representation

Volume 1

Hardcover Published: 1st January 2008
ISBN: 9780444522115
Number Of Pages: 1034

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Knowledge Representation, which lies at the core of Artificial Intelligence, is concerned with encoding knowledge on computers to enable systems to reason automatically.
The Handbook of Knowledge Representation is an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field.
This book is an essential resource for students, researchers and practitioners in all areas of Artificial Intelligence.
* Make your computer smarter
* Handle qualitative and uncertain information
* Improve computational tractability to solve your problems easily

General Methods in Knowledge Representation and Reasoningp. 1
Knowledge Representation and Classical Logicp. 3
Satisfiability Solversp. 89
Description Logicsp. 135
Constraint Programmingp. 181
Conceptual Graphsp. 213
Nonmonotonic Reasoningp. 239
Answer Setsp. 285
Belief Revisionp. 317
Qualitative Modelingp. 361
Model-based Problem Solvingp. 395
Bayesian Networksp. 467
Classes of Knowledge and Specialized Representationsp. 511
Temporal Representation and Reasoningp. 513
Qualitative Spatial Representation and Reasoningp. 551
Physical Reasoningp. 597
Reasoning about Knowledge and Beliefp. 621
Situation Calculusp. 649
Event Calculusp. 671
Temporal Action Logicsp. 709
Nonmonotonic Causal Logicp. 759
Knowledge Representation in Applicationsp. 777
Knowledge Representation and Question Answeringp. 779
The Semantic Web: Webizing Knowledge Representationp. 821
Automated Planningp. 841
Cognitive Roboticsp. 869
Multi-Agent Systemsp. 887
Knowledge Engineeringp. 929
Author Indexp. 947
Subject Indexp. 987
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9780444522115
ISBN-10: 0444522115
Series: Foundations of Artificial Intelligence
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 1034
Published: 1st January 2008
Publisher: Elsevier Science & Technology
Country of Publication: GB
Dimensions (cm): 24.0 x 16.5  x 4.7
Weight (kg): 2.02
Edition Number: 1