Aggregating bipolar opinions through bipolar assumption-based argumentation
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Published version
Author(s)
Dickie, Charles
Lauren, Stefan
Belardinelli, francesco
Rago, Antonio
Toni, Francesca
Type
Journal Article
Abstract
We introduce a novel method to aggregate Bipolar Argumentation
Frameworks expressing opinions of different parties in debates. We use Bipolar
Assumption-based Argumentation (ABA) as an all-encompassing formalism
for Bipolar Argumentation under different semantics. By leveraging on recent
results on judgement aggregation in Social Choice Theory, we prove several
preservation results for relevant properties of Bipolar ABA using quota and
oligarchic rules. Specifically, we prove (positive and negative) results about the
preservation of conflict-free, closed, admissible, preferred, complete, set-stable,
well-founded and ideal extensions in Bipolar ABA, as well as the preservation
of acceptability, acyclicity and coherence for individual assumptions. Finally,
we illustrate our methodology and results in the context of a case study on
opinion aggregation for the treatment of long COVID patients.
Frameworks expressing opinions of different parties in debates. We use Bipolar
Assumption-based Argumentation (ABA) as an all-encompassing formalism
for Bipolar Argumentation under different semantics. By leveraging on recent
results on judgement aggregation in Social Choice Theory, we prove several
preservation results for relevant properties of Bipolar ABA using quota and
oligarchic rules. Specifically, we prove (positive and negative) results about the
preservation of conflict-free, closed, admissible, preferred, complete, set-stable,
well-founded and ideal extensions in Bipolar ABA, as well as the preservation
of acceptability, acyclicity and coherence for individual assumptions. Finally,
we illustrate our methodology and results in the context of a case study on
opinion aggregation for the treatment of long COVID patients.
Date Issued
2025-06
Date Acceptance
2024-11-06
Citation
Autonomous Agents and Multi-Agent Systems, 2025, 39 (1)
ISSN
1387-2532
Publisher
Springer
Journal / Book Title
Autonomous Agents and Multi-Agent Systems
Volume
39
Issue
1
Copyright Statement
© The Author(s) 2024 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
License URL
Identifier
https://link.springer.com/article/10.1007/s10458-024-09684-3
Publication Status
Published
Article Number
4
Date Publish Online
2024-11-25