Abstract argumentation frameworks (AFs), originally proposed by Dung, constitute a central
formal model for the study of computational aspects of argumentation in AI. Credulous and …

Abstract Dung's abstract Argumentation Framework (AF) has emerged as a central
formalism in formal argumentation. Key aspects of the success and popularity of Dung's …

We address the issue of forgetting in assumption-based argumentation (ABA). Forgetting is
driven by the goal to remove certain elements from a knowledge base, while preserving the …

Within argumentation dynamics, a major strand of research is concerned with how changing
an argumentation framework affects the acceptability of arguments, and how to modify an …

Abstract Dung's Argumentation Framework (AF) has been extended in several directions. An
interesting extension, among others, is the Epistemic AF (EAF) which allows representing …

Dung's Argumentation Framework (AF) has been extended in several directions. Among the
numerous proposed extensions, three of them seem to be of particular interest and have …

In this paper, we present a learning-based approach to the symbolic reasoning problem of
dynamic argumentation, where the knowledge about attacks between arguments is …

Expressing incomplete knowledge in abstract argumentation frameworks (AFs) through
incomplete AFs has recently received noticeable attention. However, algorithmic aspects of …

Many recent studies of dynamics in formal argumentation within AI focus on the well-known
formalism of Dung's argumentation frameworks (AFs). Despite the usefulness of AFs in many …

We study the notion of realization of extensions in abstract argumentation. It consists in
reversing the usual reasoning process: instead of computing the extensions of an …