Decomposition-Guided Reductions for Argumentation and Treewidth
Johannes Fichte, Markus Hecher, Yasir Mahmood, Arne Meier
Abstract
Argumentation is a widely applied framework for modeling and evaluating arguments and its reasoning with various applications. Popular frameworks are abstract argumentation (Dung’s framework) or logic-based argumentation (Besnard-Hunter’s framework). Their computational complexity has been studied quite in-depth. Incorporating treewidth into the complexity analysis is particularly interesting, as solvers oftentimes employ SAT-based solvers, which can solve instances of low treewidth fast. In this paper, we address whether one can design reductions from argumentation problems to SAT-problems while linearly preserving the treewidth, which results in decomposition-guided (DG) reductions. It turns out that the linear treewidth overhead caused by our DG reductions, cannot be significantly improved under reasonable assumptions. Finally, we consider logic-based argumentation and establish new upper bounds using DG reductions and lower bounds.
BibTeX
@inproceedings{ijcai2021p259,
title = {Decomposition-Guided Reductions for Argumentation and Treewidth},
author = {Fichte, Johannes and Hecher, Markus and Mahmood, Yasir and Meier, Arne},
booktitle = {Proceedings of the Thirtieth International Joint Conference on
Artificial Intelligence, {IJCAI-21}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Zhi-Hua Zhou},
pages = {1880--1886},
year = {2021},
month = {8},
note = {Main Track},
doi = {10.24963/ijcai.2021/259},
url = {https://doi.org/10.24963/ijcai.2021/259},
}