Audience-based uncertainty in abstract argument games
Davide Grossi, Wiebe van der Hoek · International Joint Conference on Artificial Intelligence · 2013
The paper generalizes abstract argument games to cope with cases where proponent and opponent argue in front of an audience whose type is known only with uncertainty. The generalization, which makes use of basic tools from probability theory, is motivated by several examples and delivers a class of abstract argument games whose adequacy is proven robust against uncertainty.