Towards a dual process cognitive model for argument evaluation

Pierre Bisquert 1, 2 Madalina Croitoru 1 Florence Dupin de Saint Cyr - Bannay 3
1 GRAPHIK - Graphs for Inferences on Knowledge
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : In this paper we are interested in the computational and formal analysis of the persuasive impact that an argument can produce on a human agent. We propose a dual process cognitive computational model based on the highly influential work of Kahneman and investigate its reasoning mechanisms in the context of argument evaluation. This formal model is a first attempt to take a greater account of human reasoning and is a first step to a better understanding of persuasion processes as well as human argumentative strategies, which is crucial in collective decision making domain.
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Communication dans un congrès
SUM: Scalable Uncertainty Management, Sep 2015, Quebec City, Canada. 9th International Conference on Scalable Uncertainty Management, LNCS (9310), pp.298-313, 2015, Scalable Uncertainty Management. 〈http://www.fernuni-hagen.de/wbs/sum2015/〉. 〈10.1007/978-3-319-23540-0_20〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01164251
Contributeur : Pierre Bisquert <>
Soumis le : mardi 16 juin 2015 - 14:25:01
Dernière modification le : mercredi 10 octobre 2018 - 14:28:13

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Pierre Bisquert, Madalina Croitoru, Florence Dupin de Saint Cyr - Bannay. Towards a dual process cognitive model for argument evaluation. SUM: Scalable Uncertainty Management, Sep 2015, Quebec City, Canada. 9th International Conference on Scalable Uncertainty Management, LNCS (9310), pp.298-313, 2015, Scalable Uncertainty Management. 〈http://www.fernuni-hagen.de/wbs/sum2015/〉. 〈10.1007/978-3-319-23540-0_20〉. 〈lirmm-01164251〉

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