Towards Ranking-based Semantics for Abstract Argumentation using Conditional Logic Semantics
Skiba, Kenneth, Thimm, Matthias
–arXiv.org Artificial Intelligence
We propose a novel ranking-based semantics for Dung-style argumentation frameworks with the help of conditional logics. Using an intuitive translation for an argumentation framework to generate conditionals, we can apply nonmonotonic inference systems to generate a ranking on possible worlds. With this ranking we construct a ranking for our arguments. With a small extension to this ranking-based semantics we already satisfy some desirable properties for a ranking over arguments.
arXiv.org Artificial Intelligence
Aug-5-2020