Note: [*] Supported by GNCS-INDAM “Efficient Methods for Argumentation-based Decision Support”. First author is supported by PRIN “Metodi logici per il trattamento dell’informazione” and IIT-CNR (Pisa, Italy).
Note: [*] Address for correspondence: Dipartimento di Matematica e Informatica, Via Vanvitelli 1, 06123 Perugia, Italy
Abstract: We compare four different implementations of reasoning-tools dedicated to Abstract Argumentation Frameworks. These systems are ArgTools, ASPARTIX, ConArg2, and Dung-O-Matic. They have been tested over three different models of randomly-generated graph models, corresponding to the Erdős-Rényi model, the Kleinberg small-world model, and the scale-free Barabasi-Albert model. This first comparison is useful to study the behaviour of these tools over networks with different topologies (also small-world): we scale the number of arguments to check the limits of today’s systems. Such results can be used to guide further improvements of ConArg2 (our tool), but also different tools.
