All share the idea that qualitative aspects can be captured by an underlying logic, while quantitative aspects of uncertainty can be accounted for by probabilistic measures.
The framework of "probabilistic labellings" refers to probability spaces where the sample space is a set of labellings of argumentation graphs (Riveret et al. 2018).
The name "probabilistic argumentation" has been used to refer to a particular theory of reasoning that encompasses uncertainty and ignorance, combining probability theory and deductive logic (Haenni, Kohlas & Lehmann 2000).
OpenPAS is an open-source implementation of such a probabilistic argumentation system.
Probabilistic argumentation systems encounter a problem when used to determine the occurrence of Black Swan events since, by definition, those events are so improbable as to seem impossible.