Abstract Dung's Argumentation Framework (AF) has been extended in several directions,
including the possibility of representing uncertainty about the existence of arguments and …

Argumentation is used by people both internally, by evaluating arguments and
counterarguments to make sense of a situation and take a decision, and externally, eg, in a …

As algorithmic decision-making systems become more prevalent in society, ensuring the
fairness of these systems is becoming increasingly important. Whilst there has been …

Gradual semantics with abstract argumentation provide each argument with a score
reflecting its acceptability. Many different gradual semantics have been proposed in the …

Explaining black-box classification models is a hot topic in AI, with the overall goal of
improving trust in decisions made by such models. Several works have been done and …

A gradual semantics takes a weighted argumentation framework as input and outputs a final
acceptability degree for each argument, with different semantics performing the computation …

This paper formally studies a notion of dialectical argument strength in terms of the number
of ways in which an argument can be successfully attacked in expansions of an abstract …

Following the establishment in 2006 of a representational standard for the computational
handling of structures of argumentation, the Argument Interchange Format, it became …

This paper presents a formal model of dialectical argument strength in terms of the number
of ways in which an argument can be successfully attacked in expansions of an abstract …

After a few decades of development, computational argumentation has become one of the
active areas in AI. This paper proposes a general approach to deal with semantic related …