Accepted Papers


The Best Paper of ECSQARU 2011 is

Measuring Consistency Gain and Information Loss in Stepwise Inconsistency Resolution
by John Grant and Anthony Hunter

A list of accepted papers:

  • 4. Patrick Bosc, Olivier Pivert and Grégory Smits: A Preference Query Model Based on a Fusion of Local Orders

  • 8. John Grant and Anthony Hunter: Measuring Consistency Gain and Information Loss in Stepwise Inconsistency Resolution
  • 9. Sébastien Destercke: Independence and 2-monotonicity: nice to have, hard to keep
  • 10. Prakash P. Shenoy: A Re-definition of Mixtures of Polynomials for Inference in Hybrid Bayesian Networks
  • 14. Costas Koutras and Yorgos Zikos: Relating Truth, Knowledge and Belief in epistemic states
  • 15. Sarah Alice Gaggl and Stefan Woltran: Strong Equivalence for Argumentation Semantics based on Conflict-free Sets
  • 16. Laurence Cholvy: How strong can an agent believ in reported Information
  • 17. Ivan Kramosil and Milan Daniel: Statistical Estimations of Lattice-Valued Possibilistic Distributions
  • 18. Miguel Couceiro and Tamás Waldhauser: Pseudo-polynomial Functions over Finite Distributive Lattices
  • 20. Cory Butz, Anders Madsen and Kevin Williams: Using Four Cost Measures to Determine Arc Reversal Orderings
  • 21. Yi Wang, Nevin L. Zhang, Tao Chen and Leonard K. M. Poon: Latent Tree Classi?er
  • 23. Andrea Cohen, Alejandro Garcia and Guillermo Simari Backing and Undercutting in Defeasible Logic Programming
  • 24. Yousri Kessentini, Thomas Burger and Thierry Paquet: Constructing dynamic frames of discernment in cases of large number of classes
  • 26. Giulianella Coletti, Romano Scozzafava and Barbara Vantaggi:( A bridge between probability and possibility in a comparative framework
  • 27. Fabio Cuzzolin: On consistent approximations of belief functions in the mass space
  • 30. Joaquim Gabarro, Maria Serna and Alan Stewart: Web Services and Incerta Spiriti: a Game Theoretic approach to Uncertainty
  • 31. Marc Pouly: Generalized Information Theory Based on the Theory of Hints
  • 32. Steven P.D. Woudenberg and Linda C. Van Der Gaag: Using the Noisy-OR Model Can Be Harmful... But It Often Is Not
  • 33. Merel T. Rietbergen and Linda C. Van Der Gaag: Attaining Monotonicity for Bayesian Networks
  • 34. Eric Lefevre, Zied Elouedi and David Mercier: Towards an alarm for opposition conflict in a conjunctive combination of belief functions
  • 36. Haohai Yu and Robert Van Engelen: Importance Sampling on Bayesian Networks with Deterministic Causalities
  • 38. Cassio De Campos and Qiang Ji: Bayesian Networks and the Imprecise Dirichlet Model applied to Recognition Problems
  • 41. Julien Hué, Mariette Serayet, Pierre Drap, Odile Papini and Eric Wurbel: Underwater archaeological 3D surveys validation within the removed set framework
  • 43. Linda C. van der Gaag and Hans L. Bodlaender: On Stopping Evidence Gathering for Diagnostic Bayesian Networks
  • 46. Montassar Ben Messaoud, Philippe Leray and Nahla Ben Amor: SemCaDo: a serendipitous strategy for learning causal bayesian networks using ontologies
  • 47. Austin Parker, Gerardo Simari, Amy Sliva and V.S. Subrahmanian: Approximate Achievability in Event Databases
  • 51. Ian O'Neill, Anbu Yue, and Phil Hanna: Adaptive dialogue strategy selection through imprecise probabilistic query answering
  • 52. Emad Saad: Bridging the Gap Between Reinforcement Learning and Knowledge Representation: A Logical Off- and On-Policy Framework
  • 55. Emmanuel Ramasso, Lisa Serir and Noureddine Zerhouni: E2GK: Evidential Evolving Gustafsson-Kessel Algorithm For Data Streams Partitioning Using Belief Functions
  • 56. Souhila Kaci and Christophe Labreuche: Arguing with Valued Preference Relations
  • 59. Juan I. Alonso-Barba, Luis De La Ossa, Jose M. Puerta and Jose A. Gamez: Scaling up the Greedy Equivalence Search Algorithm by Constraining the Search Space of Equivalence Classes
  • 62. Vaclav Lin Extensions of Decision-Theoretic Troubleshooting: Cost Clusters and Precedence Constraints
  • 64. Serena Villata, Guido Boella, Dov Gabbay, Leon Van Der Torre: Arguing about the Trustworthiness of the Information Sources
  • 67. Franklin Camacho and Ramon Pino Perez: Leximax relations in Decision Making through the Dominance plausible rule
  • 68. Matthias Thimm, Gabriele Kern-Isberner and Jens Fisseler: Relational Probabilistic Conditional Reasoning at Maximum Entropy
  • 70. Sebastian Lehrack and Ingo Schmitt: A Probabilistic Interpretation for a Geometric Similarity Measure
  • 72. Raouia Ayachi, Nahla Ben Amor and Salem Benferhat: Compiling Min-based Possibilistic Causal Networks: A mutilated-based Approach
  • 74. Marjon Blondeel, Steven Schockaert, Martine De Cock, and Dirk Vermeir: Fuzzy Autoepistemic Logic: Reflecting about Knowledge of Truth Degrees
  • 77. Andrés Cano, Manuel Gómez-Olmedo, Andres R. Masegosa, and Serafin Moral: Locally averaged Bayesian Dirichlet metrics
  • 78. Sourour Ammar and Philippe Leray: Mixture of Markov trees for Bayesian network structure learning with small datasets in high dimensional space
  • 80. Roberto Confalonieri and Henri Prade: Answer Set Programming for Computing Decisions Under Uncertainty
  • 82. Dragan Doder, Aleksandar Perovic, and Zoran Ognjanovic: Probabilistic approach to nonmonotonic consequence relations
  • 85. Helene Soubaras, Christophe Labreuche, and Pierre Saveant: Evidential Markov Decision Processes
  • 87. Barbara F.I. Pieters, Linda C. van der Gaag, and Ad Feelders: When Learning Naive Bayesian Classifiers Preserves Monotonicity
  • 88. Davide Martinetti, Ignacio Montes, and Susana Díaz: From Preference Relations to Fuzzy Choice Functions
  • 90. Angelo Gilio and Giuseppe Sanfilippo: Quasi Conjunction and Inclusion Relation in Probabilistic Default Reasoning
  • 91. Amílcar Mata Díaz and Ramon Pino Perez: Logic-based fusion of complex epistemic states
  • 92. Shuwei Chen, Jun Liu, Hui Wang and Juan Carlos Augusto: Parameterized Uncertain Reasoning Approach Based on a Lattice-Valued Logic
  • 96. Jorge Jimenez, Susana Montes, Branimir Seselja, and Andreja Tepavcevic: Fuzzy relational inequations and equations in the framework of control problems
  • 99. Myriam Bounhas, Henri Prade, Mathieu Serrurier and Khaleb Mellouli: Possibilistic Classifiers for Uncertain Numerical Data
  • 100. Henri Prade and Agnès Rico: Possibilistic Evidence
  • 101. Marco Baioletti, Giuseppe Busanello, and Barbara Vantaggi: Finding P--maps and I--maps to represent conditional independencies
  • 102. Roberto Confalonieri, Henri Prade, and Juan Carlos Nieves: Handling Exceptions in Logic Programming without Negation as Failure
  • 103. Tommaso Flaminio, Lluis Godo, and Enrico Marchioni: Belief Functions on MV-algebras of Fuzzy Events Based on Fuzzy Evidence
  • 104. Leila Amgoud and Srdjan Vesic: Two roles of preferences in argumentation frameworks
  • 106. Jan Broersen: Probabilistic stit Logic
  • 107. Philippe Besnard, Eric Gregoire, and Sebastien Ramon: Overriding Subsuming Rules
  • 108. Sandra Sandri and Flavia Toledo Martins-Bede: Order Compatible Fuzzy Relations and their Elicitation from General Fuzzy Partitions
  • 109. Pierre-Emmanuel Dore, Christophe Osswald, and Arnaud Martin: Continuous belief functions to qualify sensors performances
  • 110. Sander Evers and Peter J.F. Lucas: Marginalization without summation: exploiting determinism in factor algebra