Probabilistic Argumentation with Incomplete Information

We consider augmenting abstract argumentation frame-works 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.

Authors

• Anthony Hunter
• Matthias Thimm

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