Symbolic and Quantitative Approaches to Reasoning with Uncertainty


Symbolic and Quantitative Approaches to Reasoning with Uncertainty (2011) .. 11th Euro. Conf., ECSQARU 2011


Invited Talks

Didier Dubois:
Information Fusion and Revision in Qualitative and Quantitative Settings – Steps Towards a Unified Framework. 1-18

Dov M. Gabbay:
Introducing Equational Semantics for Argumentation Networks. 19-35

Joseph Y. Halpern:
Constructive Decision Theory: Short Summary. 36-37

Argumentation

Sarah Alice Gaggl, Stefan Woltran:
Strong Equivalence for Argumentation Semantics Based on Conflict-Free Sets. 38-49

Andrea Cohen, Alejandro Javier García, Guillermo Ricardo Simari:
Backing and Undercutting in Defeasible Logic Programming. 50-61

Souhila Kaci, Christophe Labreuche:
Arguing with Valued Preference Relations. 62-73

Serena Villata, Guido Boella, Dov M. Gabbay, Leendert van der Torre:
Arguing about the Trustworthiness of the Information Sources. 74-85

Leila Amgoud, Srdjan Vesic:
Two Roles of Preferences in Argumentation Frameworks. 86-97

Bayesian Networks and Causal Networks

Prakash P. Shenoy:
A Re-definition of Mixtures of Polynomials for Inference in Hybrid Bayesian Networks. 98-109

Cory J. Butz, Anders L. Madsen, Kevin Williams:
Using Four Cost Measures to Determine Arc Reversal Orderings. 110-121

Steven P. D. Woudenberg, Linda C. van der Gaag:
Using the Noisy-OR Model Can Be Harmful … But It Often Is Not. 122-133

Merel T. Rietbergen, Linda C. van der Gaag:
Attaining Monotonicity for Bayesian Networks. 134-145

Haohai Yu, Robert van Engelen:
Importance Sampling on Bayesian Networks with Deterministic Causalities. 146-157

Cassio Polpo de Campos, Qiang Ji:
Bayesian Networks and the Imprecise Dirichlet Model Applied to Recognition Problems. 158-169

Linda C. van der Gaag, Hans L. Bodlaender:
On Stopping Evidence Gathering for Diagnostic Bayesian Networks. 170-181

Montassar Ben Messaoud, Philippe Leray, Nahla Ben Amor:
SemCaDo: A Serendipitous Strategy for Learning Causal Bayesian Networks Using Ontologies. 182-193

Juan Ignacio Alonso-Barba, Luis de la Ossa, José A. Gámez, Jose Miguel Puerta:
Scaling Up the Greedy Equivalence Search Algorithm by Constraining the Search Space of Equivalence Classes. 194-205

Václav Lín:
Extensions of Decision-Theoretic Troubleshooting: Cost Clusters and Precedence Constraints. 206-216

Andrés Cano, Manuel Gómez-Olmedo, Andrés R. Masegosa, Serafín Moral:
Locally Averaged Bayesian Dirichlet Metrics. 217-228

Sourour Ammar, Philippe Leray:
Mixture of Markov Trees for Bayesian Network Structure Learning with Small Datasets in High Dimensional Space. 229-238

Marco Baioletti, Giuseppe Busanello, Barbara Vantaggi:
Finding P-Maps and I-Maps to Represent Conditional Independencies. 239-250

Sander Evers, Peter J. F. Lucas:
Marginalization without Summation Exploiting Determinism in Factor Algebra. 251-262

Belief Functions

Sébastien Destercke:
Independence and 2-Monotonicity: Nice to Have, Hard to Keep. 263-274

Yousri Kessentini, Thomas Burger, Thierry Paquet:
Constructing Dynamic Frames of Discernment in Cases of Large Number of Classes. 275-286

Fabio Cuzzolin:
On Consistent Approximations of Belief Functions in the Mass Space. 287-298

Marc Pouly:
Generalized Information Theory Based on the Theory of Hints. 299-313

Eric Lefevre, Zied Elouedi, David Mercier:
Towards an Alarm for Opposition Conflict in a Conjunctive Combination of Belief Functions. 314-325

Lisa Serir, Emmanuel Ramasso, Noureddine Zerhouni:
E2GK: Evidential Evolving Gustafsson-Kessel Algorithm for Data Streams Partitioning Using Belief Functions. 326-337

Hélène Soubaras, Christophe Labreuche, Pierre Savéant:
Evidential Markov Decision Processes. 338-349

Pierre-Emmanuel Doré, Christophe Osswald, Arnaud Martin, Anne-Laure Jousselme, Patrick Maupin:
Continuous Belief Functions to Qualify Sensors Performances. 350-361

Belief Revision and Inconsistency Handling

John Grant, Anthony Hunter:
Measuring Consistency Gain and Information Loss in Stepwise Inconsistency Resolution. 362-373

Costas D. Koutras, Yorgos Zikos:
Relating Truth, Knowledge and Belief in Epistemic States. 374-385

Laurence Cholvy:
How Strong Can an Agent Believe Reported Information ? 386-397

Amílcar Mata Díaz, Ramón Pino Pérez:
Logic-Based Fusion of Complex Epistemic States. 398-409

Classification and Clustering

Yi Wang, Nevin Lianwen Zhang, Tao Chen, Leonard K. M. Poon:
Latent Tree Classifier. 410-421

Barbara F. I. Pieters, Linda C. van der Gaag, Ad Feelders:
When Learning Naive Bayesian Classifiers Preserves Monotonicity. 422-433

Myriam Bounhas, Henri Prade, Mathieu Serrurier, Khaled Mellouli:
Possibilistic Classifiers for Uncertain Numerical Data. 434-446

Default Reasoning and Logics for Reasoning under Uncertainty

Matthias Thimm, Gabriele Kern-Isberner, Jens Fisseler:
Relational Probabilistic Conditional Reasoning at Maximum Entropy. 447-458

Dragan Doder, Aleksandar Perovic, Zoran Ognjanovic:
Probabilistic Approach to Nonmonotonic Consequence Relations. 459-471

Emad Saad:
Bridging the Gap between Reinforcement Learning and Knowledge Representation: A Logical Off- and On-Policy Framework. 472-484

Roberto Confalonieri, Henri Prade:
Answer Set Programming for Computing Decisions Under Uncertainty. 485-496

Angelo Gilio, Giuseppe Sanfilippo:
Quasi Conjunction and Inclusion Relation in Probabilistic Default Reasoning. 497-508

Roberto Confalonieri, Henri Prade, Juan Carlos Nieves:
Handling Exceptions in Logic Programming without Negation as Failure. 509-520

Jan Broersen:
Probabilistic Stit Logic. 521-531

Philippe Besnard, Éric Grégoire, Sébastien Ramon:
Overriding Subsuming Rules. 532-544

Foundations of Reasoning and Decision Making under Uncertainty

Miguel Couceiro, Tamás Waldhauser:
Pseudo-polynomial Functions over Finite Distributive Lattices. 545-556

Giulianella Coletti, Romano Scozzafava, Barbara Vantaggi:
A Bridge between Probability and Possibility in a Comparative Framework. 557-568

Franklin Camacho, Ramón Pino Pérez:
Leximax Relations in Decision Making through the Dominance Plausible Rule. 569-581

Shuwei Chen, Jun Liu, Hui Wang, Juan Carlos Augusto:
Parameterized Uncertain Reasoning Approach Based on a Lattice-Valued Logic. 582-593

Fuzzy Sets and Fuzzy Logic

Davide Martinetti, Ignacio Montes, Susana Díaz:
From Preference Relations to Fuzzy Choice Functions. 594-605

Jorge Jiménez, Susana Montes, Branimir Seselja, Andreja Tepavcevic:
Fuzzy Relational Inequations and Equations in the Framework of Control Problems. 606-615

Marjon Blondeel, Steven Schockaert, Martine De Cock, Dirk Vermeir:
Fuzzy Autoepistemic Logic: Reflecting about Knowledge of Truth Degrees. 616-627

Tommaso Flaminio, Lluis Godo, Enrico Marchioni:
Belief Functions on MV-Algebras of Fuzzy Events Based on Fuzzy Evidence. 628-639

Sandra Sandri, Flávia Toledo Martins-Bedé:
Order Compatible Fuzzy Relations and Their Elicitation from General Fuzzy Partitions. 640-650

Implementation and Applications of Uncertain Systems

Joaquim Gabarró, Maria J. Serna, Alan Stewart:
Web Services and Incerta Spiriti: A Game Theoretic Approach to Uncertainty. 651-662

Julien Hué, Mariette Sérayet, Pierre Drap, Odile Papini, Eric Würbel:
Underwater Archaeological 3D Surveys Validation within the Removed Sets Framework. 663-674

Ian O’Neill, Anbu Yue, Weiru Liu, Phil Hanna:
Adaptive Dialogue Strategy Selection through Imprecise Probabilistic Query Answering. 675-687

Possibility Theory and Possibilistic Logic

Ivan Kramosil, Milan Daniel:
Statistical Estimations of Lattice-Valued Possibilistic Distributions. 688-699

Raouia Ayachi, Nahla Ben Amor, Salem Benferhat:
Compiling Min-based Possibilistic Causal Networks: A Mutilated-Based Approach. 700-712

Henri Prade, Agnès Rico:
Possibilistic Evidence. 713-724

Uncertainty in Databases

Patrick Bosc, Olivier Pivert, Grégory Smits:
A Preference Query Model Based on a Fusion of Local Orders. 725-736

Austin Parker, Gerardo I. Simari, Amy Sliva, V. S. Subrahmanian:
Approximate Achievability in Event Databases. 737-748

Sebastian Lehrack, Ingo Schmitt:
A Probabilistic Interpretation for a Geometric Similarity Measure. 749-760