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Argumentation et négociation pour le choix d'emballages alimentaires biodégradables

Patrice Buche 1, 2 Madalina Croitoru 1 Jérôme Fortin 1, 2 Patricio Mosse 2, 1 Nouredine Tamani 2, 1 Rallou Thomopoulos 1, 2
1 GRAPHIK - Graphs for Inferences on Knowledge
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : The aim of the paper is to aggregate preferences expressed by different actors. The aggregation process is based on argumentation techniques enriched with a negotiation phase. The final aim of this process is to support decision making. The work presented here is a part of the European Project EcoBioCap (ECOefficiant BIOdegradable Composite Advanced Packaging) that aims at providing new, eco-efficient packaging to european food producers. One of the tasks of the project is to provide a decision support system allowing to help into the choice of a packaging for a given food product. Such packaging must satisfy, at its best, preferences expressed by different actors on several criteria, not always mutually compatible. To reach this goal, we have proposed a preference logic that allows the actors to express formally their preferences. This language has then been used as the basis of an argumentation system, instantiated from ASPIC+. This allowed, by the means of extensions, to obtain maximally consistent packaging properties. When several extensions contain desirable features, a negotiation process is realized in order to add knowledge to the system which will eventually allow certain inconsistencies to be resolved. An implementation has been performed in order to test our approach with domain experts.
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Submitted on : Thursday, January 7, 2021 - 10:00:07 AM
Last modification on : Monday, October 11, 2021 - 1:24:34 PM
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Patrice Buche, Madalina Croitoru, Jérôme Fortin, Patricio Mosse, Nouredine Tamani, et al.. Argumentation et négociation pour le choix d'emballages alimentaires biodégradables. Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, Lavoisier, 2013, 27 (4/5), pp.515-537. ⟨10.3166/ria.27.515-537⟩. ⟨lirmm-00830429⟩



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