Towards Artificial Argumentation

Abstract : The field of computational models of argument is emerging as an important aspect of artificial intelligence research. The reason for this is based on the recognition that if we are to develop robust intelligent systems, then it is imperative that they can handle incomplete and inconsistent information in a way that somehow emulates the way humans tackle such a complex task. And one of the key ways that humans do this is to use argumentation either internally, by evaluating arguments and counterarguments‚ or externally, by for instance entering into a discussion or debate where arguments are exchanged. As we report in this review, recent developments in the field are leading to technology for artificial argumentation, in the legal, medical, and e-government domains, and interesting tools for argument mining, for debating technologies, and for argumentation solvers are emerging.
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Article dans une revue
AI magazine, Association for the Advancement of Artificial Intelligence, 2017, 38 (3), 〈10.1609/aimag.v38i3.2704〉
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https://hal.archives-ouvertes.fr/hal-01643470
Contributeur : Serena Villata <>
Soumis le : mardi 21 novembre 2017 - 14:25:02
Dernière modification le : mercredi 13 décembre 2017 - 10:16:05

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Katie Atkinson, Pietro Baroni, Massimiliano Giacomin, Anthony Hunter, Henry Prakken, et al.. Towards Artificial Argumentation. AI magazine, Association for the Advancement of Artificial Intelligence, 2017, 38 (3), 〈10.1609/aimag.v38i3.2704〉. 〈hal-01643470〉

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