ECSQARU 2005: Barcelona, Spain

Invited Papers

• Serafín Moral:
  Imprecise Probability in Graphical Models: Achievements and Challenges. 1-2
  
• Jörg Gebhardt, Rudolf Kruse:
  Knowledge-Based Operations for Graphical Models in Planning. 3-14
  
• Jérôme Lang:
  Some Representation and Computational Issues in Social Choice. 15-26
  

Bayesian Networks

• Barry R. Cobb, Prakash P. Shenoy:
  Nonlinear Deterministic Relationships in Bayesian Networks. 27-38
  
• Rafael Rumí, Antonio Salmerón:
  Penniless Propagation with Mixtures of Truncated Exponentials. 39-50
  
• Irene Martínez, Serafín Moral, Carmelo Rodríguez, Antonio Salmerón:
  Approximate Factorisation of Probability Trees. 51-62
  
• M. Julia Flores, José A. Gámez, Serafín Moral:
  Abductive Inference in Bayesian Networks: Finding a Partition of the Explanation Space. 63-75
  
• Thomas D. Nielsen, Finn Verner Jensen:
  Alert Systems for Production Plants: A Methodology Based on Conflict Analysis. 76-87
  
• Martín Molina, Raquel Fuentetaja, Luis Garrote:
  Hydrologic Models for Emergency Decision Support Using Bayesian Networks. 88-99
  

Graphical Models

• Christian Borgelt, Rudolf Kruse:
  Probabilistic Graphical Models for the Diagnosis of Analog Electrical Circuits. 100-110
  
• Zhiyuan Luo, Alexander Gammerman:
  Qualified Probabilistic Predictions Using Graphical Models. 111-122
  
• Luis M. de Campos, Juan M. Fernández-Luna, Manuel Gómez, Juan F. Huete:
  A Decision-Based Approach for Recommending in Hierarchical Domains. 123-135
  

Learning Causal Networks

• José M. Peña, Johan Björkegren, Jesper Tegnér:
  Scalable, Efficient and Correct Learning of Markov Boundaries Under the Faithfulness Assumption. 136-147
  
• Guzmán Santafé, José Antonio Lozano, Pedro Larrañaga:
  Discriminative Learning of Bayesian Network Classifiers via the TM Algorithm. 148-160
  
• José A. Gámez, Jose Miguel Puerta:
  Constrained Score+(Local)Search Methods for Learning Bayesian Networks. 161-173
  
• Luis M. de Campos, Javier Gomez Castellano:
  On the Use of Restrictions for Learning Bayesian Networks. 174-185
  
• Jae-Hyuck Lee:
  Foundation for the New Algorithm Learning Pseudo-Independent Models. 186-197
  

Planning

• Arsalan Farrokh, Vikram Krishnamurthy:
  Optimal Threshold Policies for Operation of a Dedicated-Platform with Imperfect State Information - A POMDP Framework. 198-208
  
• Stephen M. Majercik:
  APPSSAT: Approximate Probabilistic Planning Using Stochastic Satisfiability. 209-220
  

Causality and Independence

• Remco R. Bouckaert, Milan Studený:
  Racing for Conditional Independence Inference. 221-232
  
• Manon J. Sanscartier, Eric Neufeld:
  Causality, Simpson's Paradox, and Context-Specific Independence. 233-243
  
• Marcel van Gerven, Peter J. F. Lucas, Theo P. van der Weide:
  A Qualitative Characterisation of Causal Independence Models Using Boolean Polynomials. 244-256
  

Preference Modelling and Decision

• Irina Georgescu:
  On the Notion of Dominance of Fuzzy Choice Functions and Its Application in Multicriteria Decision Making. 257-268
  
• Leila Amgoud, Jean-François Bonnefon, Henri Prade:
  An Argumentation-Based Approach to Multiple Criteria Decision. 269-280
  
• Souhila Kaci, Leendert W. N. van der Torre:
  Algorithms for a Nonmonotonic Logic of Preferences. 281-292
  
• Didier Dubois, Souhila Kaci, Henri Prade:
  Expressing Preferences from Generic Rules and Examples - A Possibilistic Approach Without Aggregation Function. 293-304
  
• Didier Dubois, Hélène Fargier:
  On the Qualitative Comparison of Sets of Positive and Negative Affects. 305-316
  

Argumentation Systems

• Sylvie Coste-Marquis, Caroline Devred, Pierre Marquis:
  Symmetric Argumentation Frameworks. 317-328
  
• Pietro Baroni, Massimiliano Giacomin:
  Evaluating Argumentation Semantics with Respect to Skepticism Adequacy. 329-340
  
• Helena Lindgren, Patrik Eklund:
  Logic of Dementia Guidelines in a Probabilistic Argumentation Framework. 341-352
  
• Carlos Iván Chesñevar, Guillermo Ricardo Simari, Lluis Godo, Teresa Alsinet:
  Argument-Based Expansion Operators in Possibilistic Defeasible Logic Programming: Characterization and Logical Properties. 353-365
  
• Claudette Cayrol, Marie-Christine Lagasquie-Schiex:
  Gradual Valuation for Bipolar Argumentation Frameworks. 366-377
  
• Claudette Cayrol, Marie-Christine Lagasquie-Schiex:
  On the Acceptability of Arguments in Bipolar Argumentation Frameworks. 378-389
  

Inconsistency Handling

• Laurence Cholvy:
  A Modal Logic for Reasoning with Contradictory Beliefs Which Takes into Account the Number and the Reliability of the Sources. 390-401
  
• Pascal Nicolas, Laurent Garcia, Igor Stéphan:
  A Possibilistic Inconsistency Handling in Answer Set Programming. 402-414
  
• Anthony Hunter, Weiru Liu:
  Measuring the Quality of Uncertain Information Using Possibilistic Logic. 415-426
  
• Philippe Besnard:
  Remedying Inconsistent Sets of Premises. 427-439
  
• Kedian Mu, Zhi Jin, Ruqian Lu, Weiru Liu:
  Measuring Inconsistency in Requirements Specifications. 440-451
  

Belief Revision and Merging

• Salem Benferhat, Jonathan Ben-Naim, Robert Jeansoulin, Mahat Khelfallah, Sylvain Lagrue, Odile Papini, Nic Wilson, Eric Würbel:
  Belief Revision of GIS Systems: The Results of REV!GIS. 452-464
  
• Guilin Qi, Weiru Liu, David A. Bell:
  Multiple Semi-revision in Possibilistic Logic. 465-476
  
• Mahat Khelfallah, Belaid Benhamou:
  A Local Fusion Method of Temporal Information. 477-488
  
• Thomas Andreas Meyer, Pilar Pozos Parra, Laurent Perrussel:
  Mediation Using m-States. 489-500
  
• Guilin Qi, Weiru Liu, David A. Bell:
  Combining Multiple Knowledge Bases by Negotiation: A Possibilistic Approach. 501-513
  
• Olivier Gauwin, Sébastien Konieczny, Pierre Marquis:
  Conciliation and Consensus in Iterated Belief Merging. 514-526
  
• Leila Amgoud, Souhila Kaci:
  An Argumentation Framework for Merging Conflicting Knowledge Bases: The Prioritized Case. 527-538
  

Belief Functions

• Milan Daniel:
  Probabilistic Transformations of Belief Functions. 539-551
  
• David Mercier, Benjamin Quost, Thierry Denoeux:
  Contextual Discounting of Belief Functions. 552-562
  

Fuzzy Models

• Ofer Arieli, Chris Cornelis, Glad Deschrijver, Etienne E. Kerre:
  Bilattice-Based Squares and Triangles. 563-575
  
• Luis Garmendia, Adela Salvador:
  A New Algorithm to Compute Low T-Transitive Approximation of a Fuzzy Relation Preserving Symmetry. Comparisons with the T-Transitive Closure. 576-586
  
• Luis Garmendia, Adela Salvador:
  Computing a Transitive Opening of a Reflexive and Symmetric Fuzzy Relation. 587-599
  
• Raffaella Guglielmann, Liliana Ironi:
  Generating Fuzzy Models from Deep Knowledge: Robustness and Interpretability Issues. 600-612
  
• Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Mohammed Awad, Olga Valenzuela:
  Analysis of the TaSe-II TSK-Type Fuzzy System for Function Approximation. 613-624
  

Many-Valued Logical Systems

• Arnon Avron:
  Non-deterministic Semantics for Paraconsistent C-Systems. 625-637
  
• Ana Fernández Vilas, José J. Pazos Arias, Ana Belén Barragáns-Martínez, Martín López Nores, Rebeca P. Díaz Redondo, Alberto Gil-Solla, Jorge García Duque, Manuel Ramos Cabrer:
  Multi-valued Model Checking in Dense-Time. 638-649
  
• Stefano Aguzzoli, Ottavio M. D'Antona, Vincenzo Marra:
  Brun Normal Forms for Co-atomic Lukasiewicz Logics. 650-661
  
• Stefano Aguzzoli, Brunella Gerla, Corrado Manara:
  Poset Representation for Gödel and Nilpotent Minimum Logics. 662-674
  

Uncertainty Logics

• Mathieu Serrurier, Henri Prade:
  Possibilistic Inductive Logic Programming. 675-686
  
• Umberto Straccia:
  Query Answering in Normal Logic Programs Under Uncertainty. 687-700
  
• Enrico Marchioni:
  A Logical Treatment of Possibilistic Conditioning. 701-713
  
• Tommaso Flaminio:
  A Zero-Layer Based Fuzzy Probabilistic Logic for Conditional Probability. 714-725
  
• Nebojsa Ikodinovic, Zoran Ognjanovic:
  A Logic with Coherent Conditional Probabilities. 726-736
  
• Thomas Lukasiewicz:
  Probabilistic Description Logic Programs. 737-749
  

Probabilistic Reasoning

• Andrea Capotorti, Maroussa Zagoraiou:
  Coherent Restrictions of Vague Conditional Lower-Upper Probability Extensions. 750-762
  
• David Poole, Clinton Smyth:
  Type Uncertainty in Ontologically-Grounded Qualitative Probabilistic Matching. 763-774
  
• Veronica Biazzo, Angelo Gilio:
  Some Theoretical Properties of Conditional Probability Assessments. 775-787
  
• Rolf Haenni:
  Unifying Logical and Probabilistic Reasoning. 788-799
  

Reasoning Models Under Uncertainty

• Maria Silvia Pini, Francesca Rossi, Kristen Brent Venable:
  Possibility Theory for Reasoning About Uncertain Soft Constraints. 800-811
  
• Patrick Bosc, Olivier Pivert:
  About the Processing of Possibilistic and Probabilistic Queries. 812-823
  
• Audun Jøsang, Simon Pope, Milan Daniel:
  Conditional Deduction Under Uncertainty. 824-835
  
• Haibin Sun, Wenhui Li:
  Heterogeneous Spatial Reasoning. 836-847
  

Uncertainty Measures

• Didier Dubois, Eyke Hüllermeier:
  A Notion of Comparative Probabilistic Entropy Based on the Possibilistic Specificity Ordering. 848-859
  
• Enrique Miranda:
  Consonant Random Sets: Structure and Properties. 860-871
  
• Giulianella Coletti, Barbara Vantaggi:
  Comparative Conditional Possibilities. 872-883
  
• Ivan Kramosil:
  Second-Level Possibilistic Measures Induced by Random Variables. 884-895
  

Probabilistic Classifiers

• Zengchang Qin, Jonathan Lawry:
  Hybrid Bayesian Estimation Trees Based on Label Semantics. 896-907
  
• Andrés Cano, Javier Gomez Castellano, Andrés R. Masegosa, Serafín Moral:
  Selective Gaussian Naïve Bayes Model for Diffuse Large-B-Cell Lymphoma Classification: Some Improvements in Preprocessing and Variable Elimination. 908-920
  
• Nahla Ben Amor, Salem Benferhat, Zied Elouedi:
  Towards a Definition of Evaluation Criteria for Probabilistic Classifiers. 921-931
  
• Andrés Cano, Javier Gomez Castellano, Andrés R. Masegosa, Serafín Moral:
  Methods to Determine the Branching Attribute in Bayesian Multinets Classifiers. 932-943
  

Classification and Clustering

• Ilyes Jenhani, Zied Elouedi, Nahla Ben Amor, Khaled Mellouli:
  Qualitative Inference in Possibilistic Option Decision Trees. 944-955
  
• Patrick Vannoorenberghe, Philippe Smets:
  Partially Supervised Learning by a Credal EM Approach. 956-967
  
• Julien Velcin, Jean-Gabriel Ganascia:
  Default Clustering from Sparse Data Sets. 968-979
  
• Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Jesús González:
  New Technique for Initialization of Centres in TSK Clustering-Based Fuzzy Systems. 980-991
  

Industrial Applications

• Frank Rehm, Frank Klawonn:
  Learning Methods for Air Traffic Management. 992-1001
  
• Christian Borgelt, Michael R. Berthold, David E. Patterson:
  Molecular Fragment Mining for Drug Discovery. 1002-1013
  
• Detlef D. Nauck, Martin Spott, Behnam Azvine:
  Automatic Selection of Data Analysis Methods. 1014-1025