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.Ronald J.
Brachman is Head of the Artificial Intelligence Principles Research Department at AT&T Bell
Laboratories. Hector J. Levesque and Raymond Reiter are Professors of Computer Science at the
University of Toronto.Contents: Introduction. 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
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About the Author
AT&T Bell Laboratories.
Hector J. Levesque is Professor of Computer Science at the University of Toronto. He is the coauthor (with Gerhard Lakemeyer) of The Logic of Knowledge Bases (MIT Press,
2001) and coeditor (with Ronald J. Brachman) of Knowledge Representation and
Reasoning (MIT Press, 1992).
Raymond Reiter is Professor and Co-Director of the Cognitive Robotics Project in the
Department of Computer Science at the University of Toronto.
What People are Saying About This
"For computational theories of high-level cognition, Knowledge
Representation remains the only game in town." the editors
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