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Communication Dans Un Congrès Année : 2022

Multiagent Dynamics of Gradual Argumentation Semantics

Résumé

In the abstract argumentation setting, gradual semantics have been proposed to assess the individual strength of arguments. A number of such semantics have been proposed recently, and their formal properties have been studied. While these semantics are sometimes motivated by their better adequacy to capture debates, their behaviour in such multiagent settings is largely unexplored. In this paper, we undertake a study of the multiagent dynamics of a standard gradual semantics. We propose a simple protocol, where agents exchange arguments in order to provide a collective evaluation of the value of a given argument (i.e an issue), and may learn new arguments from the other agents, as well as an extended version allowing votes. The debate proceeds following a better response dynamics. We study how the value of the issue and the agents opinion evolve, depending on various parameters of this setting.
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Dates et versions

hal-03584238 , version 1 (22-02-2022)
hal-03584238 , version 2 (05-04-2022)

Identifiants

  • HAL Id : hal-03584238 , version 2

Citer

Louise Dupuis de Tarlé, Elise Bonzon, Nicolas Maudet. Multiagent Dynamics of Gradual Argumentation Semantics. 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022), May 2022, Auckland (virtual), New Zealand. ⟨hal-03584238v2⟩
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