ECSQARU 2011: Belfast, UK

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
  

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