Arguments using ontological and causal knowledge

Philippe Besnard 1, 2 Marie-Odile Cordier 1 Yves Moinard 1
1 DREAM - Diagnosing, Recommending Actions and Modelling
Inria Rennes – Bretagne Atlantique , IRISA-D7 - GESTION DES DONNÉES ET DE LA CONNAISSANCE
Abstract : We explore an approach to reasoning about causes via argumentation. We consider a causal model for a physical system, and we look for arguments about facts. Some arguments are meant to provide explanations of facts whereas some challenge these explanations and so on. At the root of argumentation here, are causal links ({A_1, ... ,A_n} causes B) and also ontological links (c_1 is_a} c_2). We introduce here a logical approach which provides a candidate explanation ({A_1, ... ,A_n} explains {B_1, ... ,B_m}) by resorting to an underlying causal link substantiated with appropriate ontological links. Argumentation is then at work from these various explanation links. A case study is developed: a severe storm Xynthia that devastated a county in France in 2010, with an unaccountably high number of casualties.
Type de document :
Communication dans un congrès
Christoph Beierle and Carlo Meghini. FoIKS, Mar 2014, Bordeaux, France. Springer, 8367, pp.79--96, 2014, LNCS
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https://hal.inria.fr/hal-00931679
Contributeur : Yves Moinard <>
Soumis le : mercredi 15 janvier 2014 - 15:50:31
Dernière modification le : mercredi 11 avril 2018 - 02:01:26
Document(s) archivé(s) le : samedi 8 avril 2017 - 16:27:01

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  • HAL Id : hal-00931679, version 1

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Philippe Besnard, Marie-Odile Cordier, Yves Moinard. Arguments using ontological and causal knowledge. Christoph Beierle and Carlo Meghini. FoIKS, Mar 2014, Bordeaux, France. Springer, 8367, pp.79--96, 2014, LNCS. 〈hal-00931679〉

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