ENGLISH

Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 11th European Conference, ECSQARU 2011, Belfast, UK, June 29–July 1, 2011. Proceedings

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2011
ISBN
9783642221514, 9783642221521
Language
english
Format
PDF
Filesize
10 MB (9967256 bytes)
Series
Lecture Notes in Computer Science 6717 : Lecture Notes in Artificial Intelligence
Edition
1
Pages
762\774
Time added
2020-08-30 06:11:09

Description

This book constitutes the refereed proceedings of the 11th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2011, held in Belfast, UK, in June/July 2011. The 60 revised full papers presented together with 3 invited talks were carefully reviewed and selected from 108 submissions. The papers are organized in topical sections on argumentation; Bayesian networks and causal networks; belief functions; belief revision and inconsistency handling; classification and clustering; default reasoning and logics for reasoning under uncertainty; foundations of reasoning and decision making under uncertainty; fuzzy sets and fuzzy logic; implementation and applications of uncertain systems; possibility theory and possibilistic logic; and uncertainty in databases. Front Matter....Pages - Information Fusion and Revision in Qualitative and Quantitative Settings....Pages 1-18 Introducing Equational Semantics for Argumentation Networks....Pages 19-35 Constructive Decision Theory: Short Summary....Pages 36-37 Strong Equivalence for Argumentation Semantics Based on Conflict-Free Sets....Pages 38-49 Backing and Undercutting in Defeasible Logic Programming....Pages 50-61 Arguing with Valued Preference Relations....Pages 62-73 Arguing about the Trustworthiness of the Information Sources....Pages 74-85 Two Roles of Preferences in Argumentation Frameworks....Pages 86-97 A Re-definition of Mixtures of Polynomials for Inference in Hybrid Bayesian Networks....Pages 98-109 Using Four Cost Measures to Determine Arc Reversal Orderings....Pages 110-121 Using the Noisy-OR Model Can Be Harmful … But It Often Is Not....Pages 122-133 Attaining Monotonicity for Bayesian Networks....Pages 134-145 Importance Sampling on Bayesian Networks with Deterministic Causalities....Pages 146-157 Bayesian Networks and the Imprecise Dirichlet Model Applied to Recognition Problems....Pages 158-169 On Stopping Evidence Gathering for Diagnostic Bayesian Networks....Pages 170-181 SemCaDo: A Serendipitous Strategy for Learning Causal Bayesian Networks Using Ontologies....Pages 182-193 Scaling Up the Greedy Equivalence Search Algorithm by Constraining the Search Space of Equivalence Classes....Pages 194-205 Extensions of Decision-Theoretic Troubleshooting: Cost Clusters and Precedence Constraints....Pages 206-216 Locally Averaged Bayesian Dirichlet Metrics....Pages 217-228 Mixture of Markov Trees for Bayesian Network Structure Learning with Small Datasets in High Dimensional Space....Pages 229-238 Finding P–Maps and I–Maps to Represent Conditional Independencies....Pages 239-250 Marginalization without Summation Exploiting Determinism in Factor Algebra....Pages 251-262 Independence and 2-Monotonicity: Nice to Have, Hard to Keep....Pages 263-274 Constructing Dynamic Frames of Discernment in Cases of Large Number of Classes....Pages 275-286 On Consistent Approximations of Belief Functions in the Mass Space....Pages 287-298 Generalized Information Theory Based on the Theory of Hints....Pages 299-313 Towards an Alarm for Opposition Conflict in a Conjunctive Combination of Belief Functions....Pages 314-325 E2GK: Evidential Evolving Gustafsson-Kessel Algorithm for Data Streams Partitioning Using Belief Functions....Pages 326-337 Evidential Markov Decision Processes....Pages 338-349 Continuous Belief Functions to Qualify Sensors Performances....Pages 350-361 Measuring Consistency Gain and Information Loss in Stepwise Inconsistency Resolution....Pages 362-373 Relating Truth, Knowledge and Belief in Epistemic States....Pages 374-385 How Strong Can an Agent Believe Reported Information ?....Pages 386-397 Logic-Based Fusion of Complex Epistemic States....Pages 398-409 Latent Tree Classifier....Pages 410-421 When Learning Naive Bayesian Classifiers Preserves Monotonicity....Pages 422-433 Possibilistic Classifiers for Uncertain Numerical Data....Pages 434-446 Relational Probabilistic Conditional Reasoning at Maximum Entropy....Pages 447-458 Probabilistic Approach to Nonmonotonic Consequence Relations....Pages 459-471 Bridging the Gap between Reinforcement Learning and Knowledge Representation: A Logical Off- and On-Policy Framework....Pages 472-484 Answer Set Programming for Computing Decisions Under Uncertainty....Pages 485-496 Quasi Conjunction and Inclusion Relation in Probabilistic Default Reasoning....Pages 497-508 Handling Exceptions in Logic Programming without Negation as Failure....Pages 509-520 Probabilistic Stit Logic....Pages 521-531 Overriding Subsuming Rules....Pages 532-544 Pseudo-polynomial Functions over Finite Distributive Lattices....Pages 545-556 A Bridge between Probability and Possibility in a Comparative Framework....Pages 557-568 Leximax Relations in Decision Making through the Dominance Plausible Rule....Pages 569-581 Parameterized Uncertain Reasoning Approach Based on a Lattice-Valued Logic....Pages 582-593 From Preference Relations to Fuzzy Choice Functions....Pages 594-605 Fuzzy Relational Inequations and Equations in the Framework of Control Problems....Pages 606-615 Fuzzy Autoepistemic Logic: Reflecting about Knowledge of Truth Degrees....Pages 616-627 Belief Functions on MV-Algebras of Fuzzy Events Based on Fuzzy Evidence....Pages 628-639 Order Compatible Fuzzy Relations and Their Elicitation from General Fuzzy Partitions....Pages 640-650 Web Services and Incerta Spiriti : A Game Theoretic Approach to Uncertainty....Pages 651-662 Underwater Archaeological 3D Surveys Validation within the Removed Sets Framework....Pages 663-674 Adaptive Dialogue Strategy Selection through Imprecise Probabilistic Query Answering....Pages 675-687 Statistical Estimations of Lattice-Valued Possibilistic Distributions....Pages 688-699 Compiling Min-based Possibilistic Causal Networks: A Mutilated-Based Approach....Pages 700-712 Possibilistic Evidence....Pages 713-724 A Preference Query Model Based on a Fusion of Local Orders....Pages 725-736 Approximate Achievability in Event Databases....Pages 737-748 A Probabilistic Interpretation for a Geometric Similarity Measure....Pages 749-760 Back Matter....Pages -

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