
Knowledge Representation
MIT Press
Published on 18. February 1992
Book
Hardback
414 pages
978-0-262-52168-0 (ISBN)
Description
This collection of extended versions of 12 papers from the First International Conference on Principles of Knowledge Representation and Reasoning provides a snapshot of the best current work in AI on formal methods and principles of representation and reasoning. Growing interest in symbolic representation and reasoning has pushed this backstage activity into the spotlight as a clearly identifiable and technically rich subfield in artificial intelligence. This collection of extended versions of 12 papers from the First International Conference on Principles of Knowledge Representation and Reasoning provides a snapshot of the best current work in AI on formal methods and principles of representation and reasoning. The topics range from temporal reasoning to default reasoning to representations for natural language.ContentsIntroduction Nonmonotonic Reasoning in the Framework of Situation Calculus The Computational Complexity of Abduction Temporal Constraint Networks Impediments to Universal Preference-Based Default Theories Embedding Decision-Analytic Control in a Learning Architecture The Substitutional Framework for Sorted Deduction: Fundamental Results on Hybrid Reasoning Existence Assumptions in Knowledge Representation Hard Problems for Simple Default Logics The Effect of Knowledge on Belief: Conditioning, Specificity and the Lottery Paradox in Default Reasoning Three-Valued Nonmonotonic Formalisms and Semantics of Logic Programs On the Applicability of Nonmonotonic Logic to Formal Reasoning in Continuous Time Principles of Metareasoning
More details
Series
Language
English
Place of publication
Cambridge, Mass.
United States
Publishing group
MIT Press Ltd
Target group
College/higher education
Professional and scholarly
US School Grade: From College Freshman to College Graduate Student
Product notice
Cloth over boards
Dimensions
Height: 259 mm
Width: 188 mm
Thickness: 19 mm
Weight
839 gr
ISBN-13
978-0-262-52168-0 (9780262521680)
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Schweitzer Classification
Persons
Raymond Reiter is Professor and Co-Director of the Cognitive Robotics Project in the Department of Computer Science at the University of Toronto.
Ronald J. Brachman is Head of the Artificial Intelligence Principles Research Department at AT&T Bell Laboratories.
Ronald J. Brachman is Head of the Artificial Intelligence Principles Research Department at AT&T Bell Laboratories.