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Symbolic and Quantitative Approaches to Reasoning with Uncertainty

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Table of Contents

Invited Papers.- Imprecise Probability in Graphical Models: Achievements and Challenges.- Knowledge-Based Operations for Graphical Models in Planning.- Some Representation and Computational Issues in Social Choice.- Bayesian Networks.- Nonlinear Deterministic Relationships in Bayesian Networks.- Penniless Propagation with Mixtures of Truncated Exponentials.- Approximate Factorisation of Probability Trees.- Abductive Inference in Bayesian Networks: Finding a Partition of the Explanation Space.- Alert Systems for Production Plants: A Methodology Based on Conflict Analysis.- Hydrologic Models for Emergency Decision Support Using Bayesian Networks.- Graphical Models.- Probabilistic Graphical Models for the Diagnosis of Analog Electrical Circuits.- Qualified Probabilistic Predictions Using Graphical Models.- A Decision-Based Approach for Recommending in Hierarchical Domains.- Learning Causal Networks.- Scalable, Efficient and Correct Learning of Markov Boundaries Under the Faithfulness Assumption.- Discriminative Learning of Bayesian Network Classifiers via the TM Algorithm.- Constrained Score+(Local)Search Methods for Learning Bayesian Networks.- On the Use of Restrictions for Learning Bayesian Networks.- Foundation for the New Algorithm Learning Pseudo-Independent Models.- Planning.- Optimal Threshold Policies for Operation of a Dedicated-Platform with Imperfect State Information - A POMDP Framework.- APPSSAT: Approximate Probabilistic Planning Using Stochastic Satisfiability.- Causality and Independence.- Racing for Conditional Independence Inference.- Causality, Simpson's Paradox, and Context-Specific Independence.- A Qualitative Characterisation of Causal Independence Models Using Boolean Polynomials.- Preference Modelling and Decision.- On the Notion of Dominance of Fuzzy Choice Functions and Its Application in Multicriteria Decision Making.- An Argumentation-Based Approach to Multiple Criteria Decision.- Algorithms for a Nonmonotonic Logic of Preferences.- Expressing Preferences from Generic Rules and Examples - A Possibilistic Approach Without Aggregation Function.- On the Qualitative Comparison of Sets of Positive and Negative Affects.- Argumentation Systems.- Symmetric Argumentation Frameworks.- Evaluating Argumentation Semantics with Respect to Skepticism Adequacy.- Logic of Dementia Guidelines in a Probabilistic Argumentation Framework.- Argument-Based Expansion Operators in Possibilistic Defeasible Logic Programming: Characterization and Logical Properties.- Gradual Valuation for Bipolar Argumentation Frameworks.- On the Acceptability of Arguments in Bipolar Argumentation Frameworks.- Inconsistency Handling.- A Modal Logic for Reasoning with Contradictory Beliefs Which Takes into Account the Number and the Reliability of the Sources.- A Possibilistic Inconsistency Handling in Answer Set Programming.- Measuring the Quality of Uncertain Information Using Possibilistic Logic.- Remedying Inconsistent Sets of Premises.- Measuring Inconsistency in Requirements Specifications.- Belief Revision and Merging.- Belief Revision of GIS Systems: The Results of REV!GIS.- Multiple Semi-revision in Possibilistic Logic.- A Local Fusion Method of Temporal Information.- Mediation Using m-States.- Combining Multiple Knowledge Bases by Negotiation: A Possibilistic Approach.- Conciliation and Consensus in Iterated Belief Merging.- An Argumentation Framework for Merging Conflicting Knowledge Bases: The Prioritized Case.- Belief Functions.- Probabilistic Transformations of Belief Functions.- Contextual Discounting of Belief Functions.- Fuzzy Models.- Bilattice-Based Squares and Triangles.- A New Algorithm to Compute Low T-Transitive Approximation of a Fuzzy Relation Preserving Symmetry. Comparisons with the T-Transitive Closure.- Computing a Transitive Opening of a Reflexive and Symmetric Fuzzy Relation.- Generating Fuzzy Models from Deep Knowledge: Robustness and Interpretability Issues.- Analysis of the TaSe-II TSK-Type Fuzzy System for Function Approximation.- Many-Valued Logical Systems.- Non-deterministic Semantics for Paraconsistent C-Systems.- Multi-valued Model Checking in Dense-Time.- Brun Normal Forms for Co-atomic ?ukasiewicz Logics.- Poset Representation for Goedel and Nilpotent Minimum Logics.- Uncertainty Logics.- Possibilistic Inductive Logic Programming.- Query Answering in Normal Logic Programs Under Uncertainty.- A Logical Treatment of Possibilistic Conditioning.- A Zero-Layer Based Fuzzy Probabilistic Logic for Conditional Probability.- A Logic with Coherent Conditional Probabilities.- Probabilistic Description Logic Programs.- Probabilistic Reasoning.- Coherent Restrictions of Vague Conditional Lower-Upper Probability Extensions.- Type Uncertainty in Ontologically-Grounded Qualitative Probabilistic Matching.- Some Theoretical Properties of Conditional Probability Assessments.- Unifying Logical and Probabilistic Reasoning.- Reasoning Models Under Uncertainty.- Possibility Theory for Reasoning About Uncertain Soft Constraints.- About the Processing of Possibilistic and Probabilistic Queries.- Conditional Deduction Under Uncertainty.- Heterogeneous Spatial Reasoning.- Uncertainty Measures.- A Notion of Comparative Probabilistic Entropy Based on the Possibilistic Specificity Ordering.- Consonant Random Sets: Structure and Properties.- Comparative Conditional Possibilities.- Second-Level Possibilistic Measures Induced by Random Variables.- Probabilistic Classifiers.- Hybrid Bayesian Estimation Trees Based on Label Semantics.- Selective Gaussian Naive Bayes Model for Diffuse Large-B-Cell Lymphoma Classification: Some Improvements in Preprocessing and Variable Elimination.- Towards a Definition of Evaluation Criteria for Probabilistic Classifiers.- Methods to Determine the Branching Attribute in Bayesian Multinets Classifiers.- Classification and Clustering.- Qualitative Inference in Possibilistic Option Decision Trees.- Partially Supervised Learning by a Credal EM Approach.- Default Clustering from Sparse Data Sets.- New Technique for Initialization of Centres in TSK Clustering-Based Fuzzy Systems.- Industrial Applications.- Learning Methods for Air Traffic Management.- Molecular Fragment Mining for Drug Discovery.- Automatic Selection of Data Analysis Methods.

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