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Journal Articles Expert Systems with Applications Year : 2013

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

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.

Dates and versions

lirmm-00835177 , version 1 (18-06-2013)

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