Strongly Accepting Subframeworks: Connecting Abstract and Structured Argumentation

Markus Ulbricht, Johannes Peter Wallner

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review


Computational argumentation is primed to strengthen the current hot research field of Explainable Artificial Intelligence (XAI), e.g., by dialectical approaches. In this paper, we extend and discuss a recently proposed approach of so-called strong acceptance on abstract argumentation that aims to support explaining argumentative acceptance. Our goal is to push these results into the realm of structured argumentation. In this setting, a knowledge base induces an abstract argumentation framework (AF) via instantiation. We investigate how and under which conditions it is possible to transfer results regarding strong acceptance between the given knowledge base and the induced AF. To this end we consider generic functions formalizing the interaction of the AF and the knowledge base. This approach helps us to infer rather general results making basic assumptions rather than dealing with the technical details of several structured argumentation formalisms. Along the way, we apply our techniques to the concrete approach of assumption-based argumentation (ABA) which constitutes one of the primal structured argumentation formalisms.
Original languageEnglish
Title of host publicationComputational Models of Argument - Proceedings of COMMA 2022
EditorsFrancesca Toni, Sylwia Polberg, Richard Booth, Martin Caminada, Hiroyuki Kido
Number of pages12
ISBN (Electronic)9781643683065
Publication statusPublished - 7 Sept 2022
Event9th International Conference on Computational Models of Argument: COMMA 2022 - Cardiff, United Kingdom
Duration: 14 Sept 202216 Sept 2022

Publication series

NameFrontiers in Artificial Intelligence and Applications
ISSN (Print)0922-6389


Conference9th International Conference on Computational Models of Argument
Abbreviated titleCOMMA 2022
Country/TerritoryUnited Kingdom
Internet address


  • Assumption-based argumentation
  • Strong acceptance
  • Structured argumentation

ASJC Scopus subject areas

  • Artificial Intelligence

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