Towards Ranking-based Semantics for Abstract Argumentation using
  Conditional Logic Semantics
  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.
