Probabilistic Argumentation with Incomplete Information

We consider augmenting abstract argumentation frameworks with probabilistic information and discuss different constraints to obtain meaningful probabilistic information. Moreover, we investigate the problem of incomplete probability assignments and propose a solution for completing these assignments by applying the principle of maximum entropy.