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ORCIDECSQARU 2017: Lugano, Switzerland
- Alessandro Antonucci, Laurence Cholvy, Odile Papini:
Symbolic and Quantitative Approaches to Reasoning with Uncertainty - 14th European Conference, ECSQARU 2017, Lugano, Switzerland, July 10-14, 2017, Proceedings. Lecture Notes in Computer Science 10369, Springer 2017, ISBN 978-3-319-61580-6
Analogical Reasoning
- Henri Prade, Gilles Richard:
Analogical Inequalities. 3-9 - Henri Prade, Gilles Richard:
Boolean Analogical Proportions - Axiomatics and Algorithmic Complexity Issues. 10-21
Argumentation
- Leila Amgoud
, Jonathan Ben-Naim:
Evaluation of Arguments in Weighted Bipolar Graphs. 25-35 - Nadira Boudjani, Abdelkader Gouaïch, Souhila Kaci:
Debate-Based Learning Game for Constructing Mathematical Proofs. 36-45 - Anthony Hunter, Nico Potyka:
Updating Probabilistic Epistemic States in Persuasion Dialogues. 46-56 - Tuomo Lehtonen, Johannes Peter Wallner, Matti Järvisalo:
From Structured to Abstract Argumentation: Assumption-Based Acceptance via AF Reasoning. 57-68 - Henry Prakken:
On Relating Abstract and Structured Probabilistic Argumentation: A Case Study. 69-79
Bayesian Networks
- Janneke H. Bolt, Silja Renooij:
Structure-Based Categorisation of Bayesian Network Parameters. 83-92 - Fábio Gagliardi Cozman, Denis Deratani Mauá:
The Descriptive Complexity of Bayesian Network Specifications. 93-103 - Linda C. van der Gaag, Stavros Lopatatzidis:
Exploiting Stability for Compact Representation of Independency Models. 104-114 - Anders L. Madsen, Nicolaj Søndberg-Jeppesen, Frank Jensen, Mohamed S. Sayed, Ulrich Moser, Luís Neto, João Reis, Niels Lohse:
Parameter Learning Algorithms for Continuous Model Improvement Using Operational Data. 115-124 - Martin Plajner, Jirí Vomlel:
Monotonicity in Bayesian Networks for Computerized Adaptive Testing. 125-134 - Ahmed Samet, Thomas Guyet, Benjamin Négrevergne, Tien-Tuan Dao, Tuan Nha Hoang, Marie Christine Ho Ba Tho:
Expert Opinion Extraction from a Biomedical Database. 135-145 - Jirí Vomlel, Václav Kratochvíl:
Solving Trajectory Optimization Problems by Influence Diagrams. 146-155
Belief Functions
- Lina Abassi, Imen Boukhris:
Iterative Aggregation of Crowdsourced Tasks Within the Belief Function Theory. 159-168 - Raoua Abdelkhalek, Imen Boukhris, Zied Elouedi:
A Clustering Approach for Collaborative Filtering Under the Belief Function Framework. 169-178 - Sébastien Destercke:
A Generic Framework to Include Belief Functions in Preference Handling for Multi-criteria Decision. 179-189 - Nathalie Helal, Frédéric Pichon, Daniel Porumbel, David Mercier, Eric Lefèvre:
A Recourse Approach for the Capacitated Vehicle Routing Problem with Evidential Demands. 190-200 - Sabrine Mallek, Imen Boukhris, Zied Elouedi, Eric Lefevre:
Evidential k-NN for Link Prediction. 201-211 - Asma Trabelsi, Zied Elouedi, Eric Lefevre:
Ensemble Enhanced Evidential k-NN Classifier Through Random Subspaces. 212-221
Conditionals
- Christoph Beierle, Steven Kutsch:
Comparison of Inference Relations Defined over Different Sets of Ranking Functions. 225-235 - Christoph Beierle, Christian Eichhorn, Gabriele Kern-Isberner:
A Transformation System for Unique Minimal Normal Forms of Conditional Knowledge Bases. 236-245 - Tommaso Flaminio, Lluís Godo, Hykel Hosni:
On Boolean Algebras of Conditionals and Their Logical Counterpart. 246-256 - Marco Wilhelm, Christian Eichhorn, Richard Niland, Gabriele Kern-Isberner:
A Semantics for Conditionals with Default Negation. 257-267
Credal Sets, Credal Networks
- Andrey G. Bronevich, Igor N. Rozenberg:
Incoherence Correction and Decision Making Based on Generalized Credal Sets. 271-281 - Francesca Mangili, Claudio Bonesana, Alessandro Antonucci:
Reliable Knowledge-Based Adaptive Tests by Credal Networks. 282-291
Decision Theory, Decision Making and Reasoning Under Uncertainty
- Nahla Ben Amor, Fatma Essghaier, Hélène Fargier:
Algorithms for Multi-criteria Optimization in Possibilistic Decision Trees. 295-305 - Nahla Ben Amor, Zeineb El Khalfi, Hélène Fargier, Régis Sabbadin:
Efficient Policies for Stationary Possibilistic Markov Decision Processes. 306-317 - Giulia Fragnito, Joaquim Gabarró, Maria J. Serna:
An Angel-Daemon Approach to Assess the Uncertainty in the Power of a Collectivity to Act. 318-328 - Christoph Jansen, Thomas Augustin, Georg Schollmeyer:
Decision Theory Meets Linear Optimization Beyond Computation. 329-339 - Mustapha Ridaoui, Michel Grabisch, Christophe Labreuche:
Axiomatization of an Importance Index for Generalized Additive Independence Models. 340-350
Fuzzy Sets, Fuzzy Logic
- Stefano Aguzzoli, Matteo Bianchi, Brunella Gerla, Diego Valota:
Probability Measures in GödelΔ Logic. 353-363 - Giulianella Coletti, Davide Petturiti, Barbara Vantaggi:
Fuzzy Weighted Attribute Combinations Based Similarity Measures. 364-374 - Jean-Philippe Poli, Laurence Boudet, Bruno Espinosa, Laurence Cornez:
Online Fuzzy Temporal Operators for Complex System Monitoring. 375-384
Logics
- Nadia Creignou, Raïda Ktari, Odile Papini:
Complexity of Model Checking for Cardinality-Based Belief Revision Operators. 387-397 - Davide Ciucci, Didier Dubois:
A Two-Tiered Propositional Framework for Handling Multisource Inconsistent Information. 398-408 - Gian Luca Pozzato:
Reasoning in Description Logics with Typicalities and Probabilities of Exceptions. 409-420
Orthopairs
- Andrea Campagner, Davide Ciucci:
Measuring Uncertainty in Orthopairs. 423-432
Possibilistic Networks
- Maroua Haddad, Philippe Leray, Nahla Ben Amor:
Possibilistic MDL: A New Possibilistic Likelihood Based Score Function for Imprecise Data. 435-445
Probabilistic Logics, Probabilistic Reasoning
- Fábio Gagliardi Cozman, Denis Deratani Mauá:
The Complexity of Inferences and Explanations in Probabilistic Logic Programming. 449-458 - John Grant, Cristian Molinaro, Francesco Parisi:
Count Queries in Probabilistic Spatio-Temporal Knowledge Bases with Capacity Constraints. 459-469 - Tjitze Rienstra:
RankPL: A Qualitative Probabilistic Programming Language. 470-479 - Giuseppe Sanfilippo, Niki Pfeifer, Angelo Gilio:
Generalized Probabilistic Modus Ponens. 480-490 - Nenad Savic, Dragan Doder, Zoran Ognjanovic:
A First-Order Logic for Reasoning About Higher-Order Upper and Lower Probabilities. 491-500
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