A Logical Theory of Nonmonotonic Inference and Belief Change
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Beschreibung
This is the first book that integrates nonmonotonic reasoning and belief change in a single framework from an artificial intelligenc logic point of view. Starting with the logical foundations, the author develops a powerful framework and presents new results not yet published.
The first book in the area Includes supplementary material: sn.pub/extras
Autor*in
Alexander Bochman
Themen in »A Logical Theory of Nonmonotonic Inference and Belief Change«
Nonmonotonic reasoning artificial intelligence belief change epistemic logic formal methods fuzzy systems intelligence knowledge knowledge representation knowledge-based systems logic mathematical logics multi-agent systems nonmonotonic logics uncertainty
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From the reviews:
"This text provides a broad overview of topics related to non-classical consequence operators, nonmonotonic inference and belief change. The presentation is abstract and precise, and is grounded in a formal setting of logic." (Miroslav Truszezynski, Mathematical Reviews, Issue 2002 b)
"The author does not merely present a digest of work that has already entered the mainstream. He gives the subject an individual shape based on concepts that he has himself developed in a series of recent papers. … In brief, the book is based on a novel and coherent vision, developed according to a definite overall plan to yield non-trivial results ... ." (David Makinson, Zentralblatt MATH, Vol. 977, 2002)
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