Non-Flat ABA Is an Instance of Bipolar Argumentation
Abstract
Assumption-based Argumentation (ABA) is a well-known structured argumentation formalism, whereby arguments and attacks between them are drawn from rules, defeasible assumptions and their contraries. A common restriction imposed on ABA frameworks (ABAFs) is that they are flat, i.e. each of the defeasible assumptions can only be assumed, but not derived. While it is known that flat ABAFs can be translated into abstract argumentation frameworks (AFs) as proposed by Dung, no translation exists from general, possibly non-flat ABAFs into any kind of abstract argumentation formalism. In this paper, we close this gap and show that bipolar AFs (BAFs) can instantiate general ABAFs. To this end we develop suitable, novel BAF semantics which borrow from the notion of deductive support. We investigate basic properties of our BAFs, including computational complexity, and prove the desired relation to ABAFs under several semantics.
Cite
Text
Ulbricht et al. "Non-Flat ABA Is an Instance of Bipolar Argumentation." AAAI Conference on Artificial Intelligence, 2024. doi:10.1609/AAAI.V38I9.28944Markdown
[Ulbricht et al. "Non-Flat ABA Is an Instance of Bipolar Argumentation." AAAI Conference on Artificial Intelligence, 2024.](https://mlanthology.org/aaai/2024/ulbricht2024aaai-non/) doi:10.1609/AAAI.V38I9.28944BibTeX
@inproceedings{ulbricht2024aaai-non,
title = {{Non-Flat ABA Is an Instance of Bipolar Argumentation}},
author = {Ulbricht, Markus and Potyka, Nico and Rapberger, Anna and Toni, Francesca},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2024},
pages = {10723-10731},
doi = {10.1609/AAAI.V38I9.28944},
url = {https://mlanthology.org/aaai/2024/ulbricht2024aaai-non/}
}