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Accepted STAIRS
- Representing Case Variations for Learning General and Specific Adaptation Rules
Fadi Badra, Jean Lieber
- A Theorem Prover with Dependent Types for Reasoning about Actions
Patrick Barlatier, Richard Dapoigny
- Multi-Agent Collaboration: A Satellite Constellation Case
Grégory Bonnet, Catherine Tessier
- Probabilistic Association Rules for Item-Based Recommender Systems
Sylvain Castagnos, Armelle Brun, Anne Boyer
- Role Assertion Analysis: a proposed method for ontology refinement through assertion learning
Adrien Coulet, Malika Smail-Tabbone, Amedeo Napoli, Marie-Dominique Devignes
- Semantics for Containment Belief Revision in the Case of Consistent Complete Theories
Omar Doukari
- Learning Process Behavior with EDY: an Experimental Analysis
Ugo Galassi
- Integrating individual and social intelligence into module-based agents without central coordinator
Bianca Innocenti, Beatriz López, Joaquim Salvi
- Qualitative modelling to prospect expert’s reasoning
Kamal Kansou, Guy Della Valle, Amadou Ndiaye
- Improving Batch Reinforcement Learning Performance through Transfer of Samples
Alessandro Lazaric, Marcello Restelli, Andrea Bonarini
- Unsupervised Web-based Automatic Annotation
Miguel Millan, David Sanchez, Antonio Moreno
- Building Learning Designs by Using an Automatic Planning Domain Generation: A State-Based Approach
Lluvia Morales, Luis Castillo, Juan Fernandez-Olivares, Arturo Gonzalez-Ferrer
- Managing Risk in Recurrent Auctions for Robust Resource Allocation
Víctor Muñoz, Dídac Busquets
- Another Point of View on Diagnosability
Xavier Pucel, Louise Travé-Massuyès, Yannick Pencolé
- Learning from Data Streams: Synopsis and Change Detection
Raquel Sebastião, João Gama, Teresa Mendonça
- Domain-Dependent View of Multiple Robots Path Planning
Pavel Surynek
- Towards Social Dynamic Dependence Networks for Institutions
Serena Villata
- Distributed and Incremental Clustering Based on Weighted Affinity Propagation
Xiangliang Zhang, Cyril Furtlehner, Michele Sebag
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