Record link: 
http://hdl.handle.net/20.500.12708/231396
-
Title: 
Splitting Assumption-Based Argumentation Frameworks
en
Citation: 
Buraglio, G., Dvořák, W., & Woltran, S. (2026). Splitting Assumption-Based Argumentation Frameworks. In Proceedings of the 25th International Conference on Autonomous Agents and Multiagent Systems (pp. 3552–3554). ACM. https://doi.org/10.65109/LPCA5015
-
Publisher DOI: 
10.65109/LPCA5015
-
Publication Type: 
Inproceedings - Full-Paper Contribution
en
Language: 
English
-
Authors: 
Buraglio, Giovanni 
Dvořák, Wolfgang 
Woltran, Stefan 
-
Organisational Unit: 
E192-02 - Forschungsbereich Databases and Artificial Intelligence 
E056-13 - Fachbereich LogiCS 
E056-27 - Fachbereich Digital Humanism 
E056-23 - Fachbereich Innovative Combinations and Applications of AI and ML (iCAIML) 
-
Published in: 
Proceedings of the 25th International Conference on Autonomous Agents and Multiagent Systems 
-
ISBN: 
979-8-4007-2317-9
-
Date (published): 
24-May-2026
-
Event name: 
25th International Conference on Autonomous Agents and Multiagent Systems 
en
Event date: 
25-May-2026 - 29-May-2026
-
Event place: 
Paphos, Cyprus
-
Number of Pages: 
3
-
Publisher: 
ACM
-
Keywords: 
Splitting; Assumption-Based Argumentation; Collective Attacks
en
Abstract: 
In this paper, we study the concept of splitting in Assumption-Based Argumentation (ABA). This provides a divide-and-conquer strategy for addressing computational intractability of core reasoning tasks in ABA. In particular, we show how extensions of a given framework can be computed incrementally by restricting the search space to sub-frameworks only, and then combining the obtained results. We first consider splitting on the argument-graph induced by an ABAF, and later adapt the approach to ABA frameworks, in order to avoid the potentially high cost of building the graph.
-
Research Areas: 
Logic and Computation: 100%
-
Science Branch: 
1020 - Informatik: 80%
1010 - Mathematik: 20%
-
Appears in Collections:
Conference Paper

Show full item record

Google ScholarTM

Check