Melbourne, Australia. November 11-17, 2025.
ISSN: 2334-1033
ISBN: 978-1-956792-08-9
Copyright © 2025 International Joint Conferences on Artificial Intelligence Organization
In this work, we broaden the investigation of admissibility
notions in the context of assumption-based argumentation
(ABA). More specifically, we study two prominent
alternatives to the standard notion of admissibility from
abstract argumentation, namely strong and weak
admissibility, and introduce the respective preferred,
complete and grounded semantics for general (sometimes
called non-flat) ABA. To do so, we use abstract bipolar
set-based argumentation frameworks (BSAFs) as formal
playground since they concisely capture the relations
between assumptions and are expressive enough to represent
general non-flat ABA frameworks, as recently shown. While
weak admissibility has been recently investigated for a
restricted fragment of ABA in which assumptions cannot be
derived (flat ABA), strong admissibility has not been
investigated for ABA so far. We introduce strong
admissibility for ABA and investigate desirable properties.
We furthermore extend the recent investigations of weak
admissibility in the flat ABA fragment to the non-flat case. We show that the central modularization property is maintained under classical, strong, and weak admissibility. We also show that strong and weakly admissible semantics in non-flat ABA share some of the shortcomings of standard admissible semantics and discuss ways to address these.