Selecting Extensions in Weighted Argumentation Frameworks
Sylvie Coste-Marquis, Sébastien Konieczny, Pierre Marquis, Ouali Mohand Akli · Frontiers in artificial intelligence and applications · 2012
Recently, Dunne et al. [9,10] introduced the concept of WAF (Weighted Argumentation Framework). Such frameworks extend standard Dung's ones for abstract argumentation by associating weights with attacks. In the WAF setting, weights are used for relaxing extensions, which proves useful when there are too few extensions. In this paper, we exploit weights in a different perspective. We show how to take advantage of attacks weights within an argumentation process for selecting some extensions among Dung's ones, which proves useful when there are too many extensions, in order to improve the inferential power of the argumentation framework.