In this section
@article{Dickie:2025:10.1007/s10458-024-09684-3,
author = {Dickie, C and Lauren, S and Belardinelli, F and Rago, A and Toni, F},
doi = {10.1007/s10458-024-09684-3},
journal = {Autonomous Agents and Multi-Agent Systems},
title = {Aggregating bipolar opinions through bipolar assumption-based argumentation},
url = {http://dx.doi.org/10.1007/s10458-024-09684-3},
volume = {39},
year = {2025}
}
TY - JOUR
AB - We introduce a novel method to aggregate Bipolar ArgumentationFrameworks expressing opinions of different parties in debates. We use BipolarAssumption-based Argumentation (ABA) as an all-encompassing formalismfor Bipolar Argumentation under different semantics. By leveraging on recentresults on judgement aggregation in Social Choice Theory, we prove severalpreservation results for relevant properties of Bipolar ABA using quota andoligarchic rules. Specifically, we prove (positive and negative) results about thepreservation of conflict-free, closed, admissible, preferred, complete, set-stable,well-founded and ideal extensions in Bipolar ABA, as well as the preservationof acceptability, acyclicity and coherence for individual assumptions. Finally,we illustrate our methodology and results in the context of a case study onopinion aggregation for the treatment of long COVID patients.
AU - Dickie,C
AU - Lauren,S
AU - Belardinelli,F
AU - Rago,A
AU - Toni,F
DO - 10.1007/s10458-024-09684-3
PY - 2025///
SN - 1387-2532
TI - Aggregating bipolar opinions through bipolar assumption-based argumentation
T2 - Autonomous Agents and Multi-Agent Systems
UR - http://dx.doi.org/10.1007/s10458-024-09684-3
UR - https://link.springer.com/article/10.1007/s10458-024-09684-3
UR - http://hdl.handle.net/10044/1/115623
VL - 39
ER -