Towards a dual process cognitive model for argument evaluation

Pierre Bisquert (1, 2) , Madalina Croitoru (1) , Florence Dupin de Saint-Cyr (3)

1 GRAPHIK - Graphs for Inferences on Knowledge
2 UMR IATE - Ingénierie des Agro-polymères et Technologies Émergentes
3 IRIT-ADRIA - Argumentation, Décision, Raisonnement, Incertitude et Apprentissage

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.

Mots clés: Persuasion; Cognitive computational models; Argument; Dual process reasoning

Domaines: Intelligence artificielle [cs.AI]

Pierre Bisquert, Madalina Croitoru, Florence Dupin de Saint-Cyr. Towards a dual process cognitive model for argument evaluation. 9th International Conference on Scalable Uncertainty Management (SUM 2015), Sep 2015, Quebec City, Canada. pp.298-313, ⟨10.1007/978-3-319-23540-0_20⟩. ⟨lirmm-01164251⟩