Symbolic and Quantitative Approaches to Reasoning with Uncertainty

This book constitutes the refereed proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2007. Coverage in the 78 revised full papers, presented together with three invited papers, includes Bayesian networks, graphical models, learning causal networks, planning, causality and independence, preference modeling and decision, argumentation systems, inconsistency handling, and uncertainty measures.

Inhalt

Invited Talks.- Pattern Recognition and Information Fusion Using Belief Functions: Some Recent Developments.- Causality and Dynamics of Beliefs in Qualitative Uncertainty Frameworks.- Elements of Argumentation.- Causal Networks.- Causal Graphical Models with Latent Variables: Learning and Inference.- Learning Causal Bayesian Networks from Incomplete Observational Data and Interventions.- Belief Revision and Inconsistency Handling.- Measuring Inconsistency for Description Logics Based on Paraconsistent Semantics.- On the Dynamics of Total Preorders: Revising Abstract Interval Orders.- Approaches to Constructing a Stratified Merged Knowledge Base.- Syntactic Propositional Belief Bases Fusion with Removed Sets.- COBA 2.0: A Consistency-Based Belief Change System.- An Algorithm for Computing Inconsistency Measurement by Paraconsistent Semantics.- How Dirty Is Your Relational Database? An Axiomatic Approach.- Logics Under Uncertainty.- A Top-Down Query Answering Procedure for Normal Logic Programs Under the Any-World Assumption.- Measure Logic.- Weak Implication in Terms of Conditional Uncertainty Measures.- Language Invariance and Spectrum Exchangeability in Inductive Logic.- Best Approximation of Ruspini Partitions in Gödel Logic.- A Logical Approach to Qualitative and Quantitative Reasoning.- Description Logic Programs Under Probabilistic Uncertainty and Fuzzy Vagueness.- From DEL to EDL: Exploring the Power of Converse Events.- Argumentation Systems.- Comparing Argumentation Semantics with Respect to Skepticism.- An Algorithm for Computing Semi-stable Semantics.- The Logical Handling of Threats, Rewards, Tips, and Warnings.- On the Acceptability of Incompatible Arguments.- Handling Ignorance in Argumentation: Semantics of Partial Argumentation Frameworks.- Dialectical Proof Theories for the Credulous Prudent Preferred Semantics of Argumentation.- Towards an Extensible Argumentation System.- Dialectical Explanations in Defeasible Argumentation.- Arguing over Actions That Involve Multiple Criteria: A Critical Review.- Belief Functions.- Shared Ordered Binary Decision Diagrams for Dempster-Shafer Theory.- Cautious Conjunctive Merging of Belief Functions.- Consonant Belief Function Induced by a Confidence Set of Pignistic Probabilities.- On the Orthogonal Projection of a Belief Function.- On Latent Belief Structures.- The DSm Approach as a Special Case of the Dempster-Shafer Theory.- Interpreting Belief Functions as Dirichlet Distributions.- Forward-Backward-Viterbi Procedures in the Transferable Belief Model for State Sequence Analysis Using Belief Functions.- Uncertainty in Semantic Ontology Mapping: An Evidential Approach.- Learning and Classification.- Measures of Ruleset Quality Capable to Represent Uncertain Validity.- A Discriminative Learning Method of TAN Classifier.- Discriminative vs. Generative Learning of Bayesian Network Classifiers.- PADUA Protocol: Strategies and Tactics.- A Semi-naive Bayes Classifier with Grouping of Cases.- Split Criterions for Variable Selection Using Decision Trees.- Inference and Learning in Multi-dimensional Bayesian Network Classifiers.- Combining Decision Trees Based on Imprecise Probabilities and Uncertainty Measures.- Belief Classification Approach Based on Generalized Credal EM.- Bayesian Networks and Probabilistic Reasoning.- Logical Compilation of Bayesian Networks with Discrete Variables.- Local Monotonicity in Probabilistic Networks.- Independence Decomposition in Dynamic Bayesian Networks.- Average and Majority Gates: Combining Information by Means of Bayesian Networks.- A Fast Hill-Climbing Algorithm for Bayesian Networks Structure Learning.- On Directed and Undirected Propagation Algorithms for Bayesian Networks.- Reasoning About Preferences.- Lexicographic Refinements of Sugeno Integrals.- Algebraic Structures for Bipolar Constraint-Based Reasoning.- A Revised Qualitative Choice Logic for Handling Prioritized Preferences.- An Abstract Theory of Argumentation That Accommodates Defeasible Reasoning About Preferences.- Relaxing Ceteris Paribus Preferences with Partially Ordered Priorities.- Reasoning and Decision Making Under Uncertainty.- Conceptual Uncertainty and Reasoning Tools.- Reasoning with an Incomplete Information Exchange Policy.- Qualitative Constraint Enforcement in Advanced Policy Specification.- A Qualitative Hidden Markov Model for Spatio-temporal Reasoning.- A Multiobjective Resource-Constrained Project-Scheduling Problem.- Game Theory.- Extending Classical Planning to the Multi-agent Case: A Game-Theoretic Approach.- Dependencies Between Players in Boolean Games.- Fuzzy Sets and Fuzzy Logic.- The Use of Fuzzy t-Conorm Integral for Combining Classifiers.- Integrated Query Answering with Weighted Fuzzy Rules.- On Decision Support Under Risk by the WOWA Optimization.- Transposing the Sociology of Organized Action into a Fuzzy Environment.- Possibility Theory.- An Axiomatization of Conditional Possibilistic Preference Functionals.- Conflict Analysis and Merging Operators Selection in Possibility Theory.- Extending Description Logics with Uncertainty Reasoning in Possibilistic Logic.- Information Affinity: A New Similarity Measure for Possibilistic Uncertain Information.- Applications.- Measuring the Quality of Health-Care Services: A Likelihood-Based Fuzzy Modeling Approach.- Automatic Indexing from a Thesaurus Using Bayesian Networks: Application to the Classification of Parliamentary Initiatives.- A Genetic Programming Classifier Design Approach for Cell Images.- Use of Radio Frequency Identification for Targeted Advertising: A Collaborative Filtering Approach Using Bayesian Networks.- Development of an Intelligent Assessment System for Solo Taxonomies Using Fuzzy Logic.