Constrained Assumption-Based Argumentation Frameworks

Fuente: arXiv
Enregistré dans:
Détails bibliographiques
Auteurs principaux: De Angelis, Emanuele, Fioravanti, Fabio, Meo, Maria Chiara, Pettorossi, Alberto, Proietti, Maurizio, Toni, Francesca
Format: Preprint
Publié: 2026
Sujets:
Accès en ligne:
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1866908959249530880
author De Angelis, Emanuele
Fioravanti, Fabio
Meo, Maria Chiara
Pettorossi, Alberto
Proietti, Maurizio
Toni, Francesca
author_facet De Angelis, Emanuele
Fioravanti, Fabio
Meo, Maria Chiara
Pettorossi, Alberto
Proietti, Maurizio
Toni, Francesca
contents Assumption-based Argumentation (ABA) is a well-established form of structured argumentation. ABA frameworks with an underlying atomic language are widely studied, but their applicability is limited by a representational restriction to ground (variable-free) arguments and attacks built from propositional atoms. In this paper, we lift this restriction and propose a novel notion of constrained ABA (CABA), whose components, as well as arguments built from them, may include constrained variables, ranging over possibly infinite domains. We define non-ground semantics for CABA, in terms of various notions of non-ground attacks. We show that the new semantics conservatively generalise standard ABA semantics.
format Preprint
id arxiv_https___arxiv_org_abs_2602_13135
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Constrained Assumption-Based Argumentation Frameworks
De Angelis, Emanuele
Fioravanti, Fabio
Meo, Maria Chiara
Pettorossi, Alberto
Proietti, Maurizio
Toni, Francesca
Artificial Intelligence
Logic in Computer Science
Assumption-based Argumentation (ABA) is a well-established form of structured argumentation. ABA frameworks with an underlying atomic language are widely studied, but their applicability is limited by a representational restriction to ground (variable-free) arguments and attacks built from propositional atoms. In this paper, we lift this restriction and propose a novel notion of constrained ABA (CABA), whose components, as well as arguments built from them, may include constrained variables, ranging over possibly infinite domains. We define non-ground semantics for CABA, in terms of various notions of non-ground attacks. We show that the new semantics conservatively generalise standard ABA semantics.
title Constrained Assumption-Based Argumentation Frameworks
topic Artificial Intelligence
Logic in Computer Science
url https://arxiv.org/abs/2602.13135