An artificial intelligence-based approach to deal with argumentation applied to food quality in a public health policy

Jean-Rémi Bourguet 1 Rallou Thomopoulos 1 Marie-Laure Mugnier 1 Joël Abécassis 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 : Argumentation is a relatively new research area in Artificial Intelligence. Since the early 1980s, its use has been investigated in various frameworks. We propose a general model for recommendation-based argumentation by extending Dung's seminal argumentation system. This approach is applied to analyse argumentation on food quality in a public health policy. Cereal products, and more specifically bread, are used by decision makers as a healthy lever to fight against diseases such as obesity or diabetes. Our model outputs new recommendations based on stakeholder's argumentation by targeting some specific audiences.
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Article dans une revue
Expert Systems with Applications, Elsevier, 2013, 40 (11), pp.4539-4546. 〈10.1016/j.eswa.2013.01.059〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00835177
Contributeur : Rallou Thomopoulos <>
Soumis le : mardi 18 juin 2013 - 10:54:17
Dernière modification le : samedi 27 janvier 2018 - 01:32:13

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Jean-Rémi Bourguet, Rallou Thomopoulos, Marie-Laure Mugnier, Joël Abécassis. An artificial intelligence-based approach to deal with argumentation applied to food quality in a public health policy. Expert Systems with Applications, Elsevier, 2013, 40 (11), pp.4539-4546. 〈10.1016/j.eswa.2013.01.059〉. 〈lirmm-00835177〉

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