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Biparty decision theory for dialogical argumentation

Hadoux, Emmanuel, Hunter, Anthony and Polberg, Sylwia ORCID: 2018. Biparty decision theory for dialogical argumentation. Presented at: 7th International Conference on Computational Models of Argument, Warsaw, Poland, 12th-14 September 2018. Published in: Modgil, Sanjay and Budzynska, Katarzyna eds. Computational Models of Argument. Frontiers in Artificial Intelligence and Applications , vol.305 IOS, pp. 233-240. 10.3233/978-1-61499-906-5-233

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Proposals for strategies for dialogical argumentation often focus on situations where one of the agents wins the dialogue and the other agent loses. Yet in real-world argumentation, it is common for agents to not involve such zero-sum situations. Rather, the agents may enter into a dialogue with divergent but not necessarily opposing views on what is important in the outcomes from the argumentation. In order to model this kind of situation, we investigate a decision-theoretic approach that allows different participants to have different utility evaluations of a dialogue, and for the proponent to model the opponent's utility evaluation in order to optimize the choice of move in the dialogue.

Item Type: Conference or Workshop Item (Paper)
Status: Published
Schools: Computer Science & Informatics
Publisher: IOS
ISBN: 978-1-61499-905-8
Date of First Compliant Deposit: 1 April 2019
Date of Acceptance: 25 June 2018
Last Modified: 25 Oct 2022 13:58

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