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Epistemic Attack Semantics
Matthias Thimm, Sylwia Polberg, Anthony Hunter
37 - 48
10.3233/978-1-61499-906-5-37
Frontiers in Artificial Intelligence and Applications
Volume 305: Computational Models of Argument
Abstract

We present a probabilistic interpretation of the plausibility of attacks in abstract argumentation frameworks by extending the epistemic approach to probabilistic argumentation with probabilities on attacks. By doing so we also generalise the previously proposed attack semantics by Villata et al. to the probabilistic setting and provide a fine-grained assessment of the plausibility of attacks. We also consider the setting where partial probabilistic information on arguments and/or attacks is given and missing probabilities have to be derived.

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