Towards an Understanding of Human Persuasion and Biases in Argumentation (CAF 2016)
Résumé
We present in this paper some recent work aiming at allowing the formal analysis of the persuasive impact that an argument may produce on a human agent based. We present a computational model based on the Dual Process Theory and applied to argument evaluation. These works form the preliminary step that will allow a better understanding of two crucial aspects of collective decision-making: persuasive processes and argumentation strategies.
Domaines
Intelligence artificielle [cs.AI]
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CAF_Towards an Understanding of Human Persuasion and Biases in Argumentation.pdf (115.74 Ko)
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