Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 6th European Conference, ECSQARU 2001, Toulouse, France, September 19-21, 2001. ... (Lecture Notes in Computer Science (2143))

This book constitutes the refereed proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2001, held in Toulouse, France in September 2001. 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. Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 6th European Conference, ECSQARU 2001 Toulouse, France, September 19–21, 2001 Proceedings Author: Salem Benferhat, Philippe Besnard Published by Springer Berlin Heidelberg ISBN: 978-3-540-42464-2 DOI: 10.1007/3-540-44652-4 Table of Contents: Graphical Models as Languages for Computer Assisted Diagnosis and Decision Making Planning with Uncertainty and Incomplete Information What’s Your Preference? And How to Express and Implement It in Logic Programming! On Preference Representation on an Ordinal Scale Rule-Based Decision Support in Multicriteria Choice and Ranking Propositional Distances and Preference Representation Value Iteration over Belief Subspace Space-Progressive Value Iteration: An Anytime Algorithm for a Class of POMDPs Reasoning about Intentions in Uncertain Domains Troubleshooting with Simultaneous Models A Rational Conditional Utility Model in a Coherent Framework Probabilistic Reasoning as a General Unifying Tool An Operational View of Coherent Conditional Previsions Decomposition of Influence Diagrams Mixtures of Truncated Exponentials in Hybrid Bayesian Networks Importance Sampling in Bayesian Networks Using Antithetic Variables Using Recursive Decomposition to Construct Elimination Orders, Jointrees, and Dtrees Caveats For Causal Reasoning With Equilibrium Models Supporting Changes in Structure in Causal Model Construction The Search of Causal Orderings: A Short Cut for Learning Belief Networks

This book constitutes the refereed proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2001, held in Toulouse, France in September 2001.
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.

Over the last decade, graphical models for computer assisted diagnosis and decision making have become increasingly popular.