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Knowledge Representation: (Special Issues of <i>Artificial Intelligence</i>)

Knowledge Representation: (Special Issues of Artificial Intelligence)


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About the Book

Growing interest in symbolic representation and reasoning has pushed this hitherto backstage activity to the fore as a clearly identifiable and technically rich subfield in artificial intelligence. This text comprises extended versions of 12 papers from the First International Conference on Principles of Knowledge Representation and Reasoning. Topics covered include temporal reasoning, default reasoning, and representations for natural language.

Table of Contents:
Introduction to special volume on knowledge representation, R.J. Brachman et al; nonmonotonic reasoning in the framework of situation calculus, A.B. Baker; the computational complexity of abduction, T. Bylander et al; temporal constraint networks, R. Dechter et al; impediments to universal preference-based default theories, J. Doyle and M.P. Wellman; embedding decision-analytic control in a learning architecture, O. Etzioni; the substitutional framework for sorted deduction - fundamental results on hybrid reasoning, A.M. Frisch; existence assumptions in knowledge representation, G. Hirst; hard problems for simple default logics, H.A. Kautz and B. Selman; the effect of knowledge on belief - conditioning, specificity and the lottery paradox in default reasoning, D. Poole; three-valued nonmonotonic formalisms and the semantics of logic programs, T. Przymusinski; on the applicability of nonmonotonic logic to formal reasoning in continuous time, M. Rayner; principles of metareasoning, S. Russell and E. Wefald.

About the Author :
Ronald J. Brachman is Head of the Artificial Intelligence Principles Research Department at AT&T Bell Laboratories. Hector J. Levesque is Professor Emeritus in the Department of Computer Science at the University of Toronto. He is the author of Common Sense, the Turing Test, and the Quest for Real AI, coauthor (with Gerhard Lakemeyer) of The Logic of Knowledge Bases, and coeditor (with Ronald J. Brachman) of Knowledge Representation and Reasoning, all three published by the MIT Press. Raymond Reiter is Professor and Co-Director of the Cognitive Robotics Project in the Department of Computer Science at the University of Toronto.

Review :
"For computational theories of high-level cognition, Knowledge Representation remains the only game in town." the editors


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Product Details
  • ISBN-13: 9780262521680
  • Publisher: MIT Press Ltd
  • Publisher Imprint: MIT Press
  • Height: 259 mm
  • No of Pages: 414
  • Spine Width: 19 mm
  • Width: 188 mm
  • ISBN-10: 0262521687
  • Publisher Date: 18 Feb 1992
  • Binding: Hardback
  • Language: English
  • Series Title: Special Issues of Artificial Intelligence
  • Weight: 839 gr


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