Authors:
- The first book in the area
- Includes supplementary material: sn.pub/extras
Part of the book series: Artificial Intelligence (AI)
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Table of contents (14 chapters)
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Front Matter
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Introduction
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Nonmonotonic Inference
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Front Matter
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Belief Change
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Front Matter
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Back Matter
About this book
Reviews
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)
Authors and Affiliations
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Computer Science Department, Holon Academic Institute of Technology (HAIT), Holon, Israel
Alexander Bochman
Bibliographic Information
Book Title: A Logical Theory of Nonmonotonic Inference and Belief Change
Authors: Alexander Bochman
Series Title: Artificial Intelligence
DOI: https://doi.org/10.1007/978-3-662-04560-2
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2001
Hardcover ISBN: 978-3-540-41766-8Published: 20 June 2001
Softcover ISBN: 978-3-642-07516-2Published: 04 December 2010
eBook ISBN: 978-3-662-04560-2Published: 14 March 2013
Series ISSN: 1431-0066
Edition Number: 1
Number of Pages: XII, 436
Topics: Artificial Intelligence, Mathematical Logic and Formal Languages