Abstract Argumentation is a major topic in the study of Artificial Intelligence. Since the first
edition in 2015, advancements in solving (abstract) argumentation frameworks are assessed …

We describe the µ–toksia argumentation reasoning system. The system supports a range of
different reasoning tasks over both standard and dynamic abstract argumentation …

In his seminal 1995 paper, Dung paved the way for abstract argumentation, a by now major
research area in knowledge representation. He pointed out that there is a problematic issue …

Abstract Dung's abstract Argumentation Framework (AF) has emerged as a central
formalism in the area of knowledge representation and reasoning. Preferences in AF allow …

Dealing with controversial information is an important issue in several application contexts.
Formal argumentation enables reasoning on arguments for and against a claim to decide on …

We discuss explanations for formal (abstract and structured) argumentation—the question of
whether and why a certain argument or claim can be accepted (or not) under various …

Abstract Dung's abstract Argumentation Framework (AF) has emerged as a central
formalism for argumentation in AI. Preferences in AF allow to represent the comparative …

Abstract Argumentation frameworks (AFs) provide a central approach to perform reasoning
in many formalisms within argumentation in Artificial Intelligence (AI). Semantics for AFs …

In this paper, we present a learning-based approach to determining acceptance of
arguments under several abstract argumentation semantics. More specifically, we propose …

In argument-based inquiry, agents jointly construct arguments supporting or attacking a topic
claim to find out if the claim can be accepted given the agents' knowledge bases. While such …