Symbolic and Quantiative Approaches to Resoning with Uncertainty: 12th European Conference, ECSQARU 2013, Utrecht, The Netherlands, July 8-10, 2013, P by Linda C. van der GaagSymbolic and Quantiative Approaches to Resoning with Uncertainty: 12th European Conference, ECSQARU 2013, Utrecht, The Netherlands, July 8-10, 2013, P by Linda C. van der Gaag

Symbolic and Quantiative Approaches to Resoning with Uncertainty: 12th European Conference, ECSQARU…

byLinda C. van der Gaag

Paperback | July 19, 2013

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This book constitutes the refereed proceedings of the 12th European
Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2013, held in Utrecht, The Netherlands, in July 2013.
The 44 revised full papers presented were carefully reviewed and
selected from 89 submissions. Papers come from researchers interested in advancing the technology and from practitioners using uncertainty techniques in real-world applications. The scope of the ECSQARU conferences encompasses fundamental issues, representation, inference, learning, and decision making in qualitative and numeric uncertainty paradigms.

Title:Symbolic and Quantiative Approaches to Resoning with Uncertainty: 12th European Conference, ECSQARU…Format:PaperbackDimensions:536 pages, 23.5 × 15.5 × 0.02 inPublished:July 19, 2013Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3642390900

ISBN - 13:9783642390906

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Table of Contents

A Formal Concept View of Abstract Argumentation.- Approximating Credal Network Inferences by Linear Programming.- A Comparative Study of Compilation-Based Inference Methods for Min-Based Possibilistic Networks.- Qualitative Combination of Independence Models.- A Case Study on the Application of Probabilistic Conditional Modelling and Reasoning to Clinical Patient Data in Neurosurgery.- Causal Belief Networks: Handling Uncertain Interventions.- On Semantics of Inference in Bayesian Networks.- Evaluating Asymmetric Decision Problems with Binary Constraint Trees.- On the Equivalence between Logic Programming Semantics and Argumentation Semantics.- A Fuzzy-Rough Data Pre-processing Approach for the Dendritic Cell Classifier.- Compiling Probabilistic Graphical Models Using Sentential Decision Diagrams.- Independence in Possibility Theory under Different Triangular Norms.- Probabilistic Satisfiability and Coherence Checking through Integer Programming.- Extreme Lower Previsions and Minkowski Indecomposability.- Qualitative Capacities as Imprecise Possibilities.- Conditional Preference Nets and Possibilistic Logic.- Many-Valued Modal Logic and Regular Equivalences in Weighted Social Networks.- Zero-Probability and Coherent Betting: A Logical Point of View.- Conditional Random Quantities and Iterated Conditioning in the Setting of Coherence.- Distance-Based Measures of Inconsistency.- Safe Probability: Restricted Conditioning and Extended Marginalization.- Maximin Safety: When Failing to Lose Is Preferable to Trying to Win.- Weighted Regret-Based Likelihood: A New Approach to Describing Uncertainty.- Structural Properties for Deductive Argument Systems.- Measuring Inconsistency through Minimal Proofs.- Representing Synergy among Arguments with Choquet Integral.- A Reasoning Platform Based on the MI Shapley Inconsistency Value.- Most Inforbable Explanations: Finding Explanations in Bayesian Networks That Are Both Probable and Informative.- Structure Approximation of Most Probable Explanations in Bayesian Networks.- Argumentation Based Dynamic Multiple Criteria Decision Making.- Conditional Beliefs in a Bipolar Framework.- Detecting Marginal and Conditional Independencies between Events and Learning Their Causal Structure.- Measuring Incompleteness under Multi-valued Semantics by Partial MaxSAT Solvers.- On the Tree Structure Used by Lazy Propagation for Inference in Bayesian Networks.- Hierarchical Model for Rank Discrimination Measures.- Extreme Points of the Credal Sets Generated by Elementary Comparative Probabilities.- MCMC Estimation of Conditional Probabilities in Probabilistic Programming Languages.- Sorted-Pareto Dominance and Qualitative Notions of Optimality.- A First-Order Dynamic Probability Logic.- Selecting Source Behavior in Information Fusion on the Basis of Consistency and Specificity.- On the Problem of Reversing Relational Inductive Knowledge Representation.- Analogical Proportions and Multiple-Valued Logics.- Chain Graph Interpretations and Their Relations.- On the Plausibility of Abstract Arguments.