Imprecise Probability in Graphical Models: Achievements and Challenges

Knowledge-based operations for graphical models in planning p. 3 Some representation and computational issues in social choice p. 15 Nonlinear deterministic relationships in Bayesian networks p. 27 Penniless propagation with mixtures of truncated exponentials p. 39 Approximate factorisation of probability trees p. 51 Abductive inference in Bayesian networks : finding a partition of the explanation space p. 63 Alert systems for production plants : a methodology based on conflict analysis p. 76 Hydrologic models for emergency decision support using Bayesian networks p. 88 Probabilistic graphical models for the diagnosis of analog electrical circuits p. 100 Qualified probabilistic predictions using graphical models p. 111 A decision-based approach for recommending in hierarchical domains p. 123 Scalable, efficient and correct learning of Markov boundaries under the faithfulness assumption p. 136 Discriminative learning of Bayesian network classifiers via the TM algorithm p. 148 Constrained score+(local)search methods for learning Bayesian networks p. 161 On the use of restrictions for learning Bayesian networks p. 174 Foundation for the new algorithm learning pseudo-independent models p. 186 Optimal threshold policies for operation of a dedicated-platform with imperfect state information-a POMDP framework p. 198 APPSSAT : approximate probabilistic planning using stochastic satisfiability p. 209 Racing for conditional independence inference p. 221 Causality, Simpson's paradox, and context-specific independence p. 233 A qualitative characterisation of causal independence models using Boolean polynomials p. 244 On the notion of dominance of fuzzy choice functions and its application in multicriteria decision making p. 257 An argumentation-based approach to multiple criteria decision p. 269 Algorithms for a nonmonotonic logic of preferences p. 281 Expressing preferences from generic rules and examples-a possibilistic approach without aggregation function p. 293 On the qualitative comparison of sets of positive and negative affects p. 305 Symmetric argumentation frameworks p. 317 Evaluating argumentation semantics with respect to skepticism adequacy p. 329 Logic of dementia guidelines in a probabilistic argumentation framework p. 341 Argument-based expansion operators in possibilistic defeasible logic programming : characterization and logical properties p. 353 Gradual valuation for bipolar argumentation frameworks p. 366 On the acceptability of arguments in bipolar argumentation frameworks p. 378 A modal logic for reasoning with contradictory beliefs which takes into account the number and the reliability of the sources p. 390 A possibilistic inconsistency handling in answer set programming p. 402 Measuring the quality of uncertain information using possibilistic logic p. 415