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  Lluis Godo (Ed.): Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 8th European Conference, ECSQARU 2005, Barcelona, Spain, July 6-8, 2005, Proceedings. Springer 2005 Lecture Notes in Computer Science ISBN 3-540-27326-3

Invited Papers

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

Bayesian Networks

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

Graphical Models

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  Christian Borgelt, Rudolf Kruse: Probabilistic Graphical Models for the Diagnosis of Analog Electrical Circuits. 100-110
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  Zhiyuan Luo, Alexander Gammerman: Qualified Probabilistic Predictions Using Graphical Models. 111-122
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  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

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

Planning

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

Causality and Independence

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  Remco R. Bouckaert, Milan Studený: Racing for Conditional Independence Inference. 221-232
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  Manon J. Sanscartier, Eric Neufeld: Causality, Simpson's Paradox, and Context-Specific Independence. 233-243
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  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

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

Argumentation Systems

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  Sylvie Coste-Marquis, Caroline Devred, Pierre Marquis: Symmetric Argumentation Frameworks. 317-328
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  Pietro Baroni, Massimiliano Giacomin: Evaluating Argumentation Semantics with Respect to Skepticism Adequacy. 329-340
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  Helena Lindgren, Patrik Eklund: Logic of Dementia Guidelines in a Probabilistic Argumentation Framework. 341-352
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  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
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  Claudette Cayrol, Marie-Christine Lagasquie-Schiex: Gradual Valuation for Bipolar Argumentation Frameworks. 366-377
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  Claudette Cayrol, Marie-Christine Lagasquie-Schiex: On the Acceptability of Arguments in Bipolar Argumentation Frameworks. 378-389

Inconsistency Handling

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

Belief Revision and Merging

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  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
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  Guilin Qi, Weiru Liu, David A. Bell: Multiple Semi-revision in Possibilistic Logic. 465-476
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  Mahat Khelfallah, Belaid Benhamou: A Local Fusion Method of Temporal Information. 477-488
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  Thomas Andreas Meyer, Pilar Pozos Parra, Laurent Perrussel: Mediation Using m-States. 489-500
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  Guilin Qi, Weiru Liu, David A. Bell: Combining Multiple Knowledge Bases by Negotiation: A Possibilistic Approach. 501-513
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  Olivier Gauwin, Sébastien Konieczny, Pierre Marquis: Conciliation and Consensus in Iterated Belief Merging. 514-526
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  Leila Amgoud, Souhila Kaci: An Argumentation Framework for Merging Conflicting Knowledge Bases: The Prioritized Case. 527-538

Belief Functions

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

Fuzzy Models

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  Ofer Arieli, Chris Cornelis, Glad Deschrijver, Etienne E. Kerre: Bilattice-Based Squares and Triangles. 563-575
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  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
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  Luis Garmendia, Adela Salvador: Computing a Transitive Opening of a Reflexive and Symmetric Fuzzy Relation. 587-599
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  Raffaella Guglielmann, Liliana Ironi: Generating Fuzzy Models from Deep Knowledge: Robustness and Interpretability Issues. 600-612
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  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

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  Arnon Avron: Non-deterministic Semantics for Paraconsistent C-Systems. 625-637
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  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
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  Stefano Aguzzoli, Ottavio M. D'Antona, Vincenzo Marra: Brun Normal Forms for Co-atomic Lukasiewicz Logics. 650-661
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  Stefano Aguzzoli, Brunella Gerla, Corrado Manara: Poset Representation for Gödel and Nilpotent Minimum Logics. 662-674

Uncertainty Logics

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

Probabilistic Reasoning

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

Reasoning Models Under Uncertainty

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

Uncertainty Measures

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

Probabilistic Classifiers

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  Zengchang Qin, Jonathan Lawry: Hybrid Bayesian Estimation Trees Based on Label Semantics. 896-907
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  Andrés Cano, Francisco Javier García 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
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  Nahla Ben Amor, Salem Benferhat, Zied Elouedi: Towards a Definition of Evaluation Criteria for Probabilistic Classifiers. 921-931
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  Andrés Cano, Francisco Javier García Castellano, Andrés R. Masegosa, Serafín Moral: Methods to Determine the Branching Attribute in Bayesian Multinets Classifiers. 932-943

Classification and Clustering

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  Ilyes Jenhani, Zied Elouedi, Nahla Ben Amor, Khaled Mellouli: Qualitative Inference in Possibilistic Option Decision Trees. 944-955
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  Patrick Vannoorenberghe, Philippe Smets: Partially Supervised Learning by a Credal EM Approach. 956-967
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  Julien Velcin, Jean-Gabriel Ganascia: Default Clustering from Sparse Data Sets. 968-979
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  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

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