Multiagent Dynamics of Gradual Argumentation Semantics

Elise Bonzon, Nicolas Maudet, Louise Dupuis de Tarlé

Abstract:

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.