Meeting on Knowledge Discovery, Machine Learning and their distribution in Multi Agent Systems
Paris 6 - September 30th - October 1st 2009

TOPICS OF INTEREST

• Knowledge Discovery
• Symbolic Machine Learning
• Hypothesis Merging
• Collective Knowledge Discovery and Hypothesis Formation
• Hypothetical and Non-Monotonic Reasoning in Multi-Agent Systems

PARTICIPANTS (Alphabetical)

• Gauvain Bourgne (National Institute of Informatics)
• Dominique Bouthinon (LIPN, Univ. Paris-Nord 13, France)
• Vincent Corruble (LIP6, Univ. Paris 6, France)
• Andrei Doncescu (LAAS-CNRS, France)
• Amal El Fallah-Seghrouchni (LIP6, Univ. Paris 6, France)
• Katsumi Inoue (National Institute of Informatics/ The Graduate University for Advanced Studies/Tokyo Institute of Technology, Japan)
• Nicolas Maudet (LAMSADE, Univ. Paris Dauphine, France)
• Céline Rouveirol (LIPN, Univ. Paris-Nord 13, France)
• Nicolas Sabouret (LIP6, Univ. Paris 6, France)
• Henry Soldano (LIPN, Univ. Paris-Nord 13, France)
• Takehide Soh (The Graduate University for Advanced Studies, Japan)

PRESENTATIONS

Abductive and Inductive Reasoning
Bouthinon D.	Concept learning from (very) ambiguous examples
Inoue K.	Inferring Rules and Facts by Meta-level Abduction on SOLAR
Multi-agent Learning and Knowledge Discovery
Corruble V.	Knowledge Discovery and Multi-agent Systems
Soldano H.	Sound Multi Agent Incremental Learning ;-) an overview
Bourgne G.	Towards a model of collective knowledge discovery
Applications
Doncescu A.	Hypothesis Finding in Systems Biology

VENUE

• LIP 6, Site Passy-Kennedy
  • 104 avenue du President Kennedy
    75016 Paris
  • Room 549

SYMPOSIUM ORGANIZERS

• Amal El Fallah-Seghrouchni (LIP6, Univ. Paris 6, France)

PROGRAM CHAIR

• Gauvain Bourgne, National Institute of Informatics

CONTACT

• Gauvain Bourgne: bourgne at nii.ac.jp

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Webmaster: Takehide Soh (E-mail soh at nii.ac.jp)