A Logical Theory about Dynamics in Abstract Argumentation

Abstract : We address dynamics in abstract argumentation using a logical theory where an agent's belief state consists of an argumentation framework (AF, for short) and a constraint that encodes the outcome the agent believes the AF \emph{should} have. Dynamics enters in two ways: (1) the constraint is strengthened upon learning that the AF should have a certain outcome and (2) the AF is expanded upon learning about new arguments/attacks. A problem faced in this setting is that a constraint may be inconsistent with the AF's outcome. We discuss two ways to address this problem: First, it is still possible to form consistent \emph{fallback beliefs}, i.e., beliefs that are most plausible given the agent's AF and constraint. Second, we show that it is always possible to find AF expansions to restore consistency. Our work combines various individual approaches in the literature on argumentation dynamics in a general setting.
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Communication dans un congrès
SUM: Scalable Uncertainty Management, Sep 2013, Washington, DC, United States. 7th International Conference on Scalable Uncertainty Management, LNCS (8078), pp.148-161, 2013, Scalable Uncertainty Management. 〈10.1007/978-3-642-40381-1_12〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00863487
Contributeur : Souhila Kaci <>
Soumis le : jeudi 19 septembre 2013 - 08:23:12
Dernière modification le : jeudi 24 mai 2018 - 15:59:22

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Richard Booth, Souhila Kaci, Tjitze Rienstra, Leendert Van Der Torre. A Logical Theory about Dynamics in Abstract Argumentation. SUM: Scalable Uncertainty Management, Sep 2013, Washington, DC, United States. 7th International Conference on Scalable Uncertainty Management, LNCS (8078), pp.148-161, 2013, Scalable Uncertainty Management. 〈10.1007/978-3-642-40381-1_12〉. 〈lirmm-00863487〉

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