Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2143)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
The 68 revised full papers presented together with three invited papers were carefully reviewed and selected from over a hundred submissions. The book offers topical sections on decision theory, partially observable Markov decision processes, decision-making, coherent probabilities, Bayesian networks, learning causal networks, graphical representation of uncertainty, imprecise probabilities, belief functions, fuzzy sets and rough sets, possibility theory, merging, belief revision and preferences, inconsistency handling, default logic, logic programming, etc.
Similar content being viewed by others
Keywords
Table of contents (71 papers)
-
Contributed Papers
-
Contributed Papers
Editors and Affiliations
Bibliographic Information
Book Title: Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Book Subtitle: 6th European Conference, ECSQARU 2001, Toulouse, France, September 19-21, 2001. Proceedings
Editors: Salem Benferhat, Philippe Besnard
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/3-540-44652-4
Publisher: Springer Berlin, Heidelberg
-
eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2001
Softcover ISBN: 978-3-540-42464-2Published: 29 August 2001
eBook ISBN: 978-3-540-44652-1Published: 30 June 2003
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIV, 818
Topics: Artificial Intelligence, Programming Languages, Compilers, Interpreters, Mathematical Logic and Formal Languages, IT in Business