Exploring Opinion Diversity and Epistemic Success with an Argumentative Model

Abstract Argumentation Frameworks are a useful tool for modelling argumentative dynamics in agent-based models, and the recent introduction of gradual argumentation semantics expands their potential. Our research focuses on using these tools to examine an epistemic community of agents who use the result of their experimentation to produce arguments and exchange them with their peers. The central objectives are to analyze the stability and convergence of opinions among agents and evaluate individual and collective epistemic success.