Decomposition-Guided Reductions for Argumentation and Treewidth

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.

Cite

Text

Fichte et al. "Decomposition-Guided Reductions for Argumentation and Treewidth." International Joint Conference on Artificial Intelligence, 2021. doi:10.24963/IJCAI.2021/259

Markdown

[Fichte et al. "Decomposition-Guided Reductions for Argumentation and Treewidth." International Joint Conference on Artificial Intelligence, 2021.](https://mlanthology.org/ijcai/2021/fichte2021ijcai-decomposition/) doi:10.24963/IJCAI.2021/259

BibTeX

@inproceedings{fichte2021ijcai-decomposition,
  title     = {{Decomposition-Guided Reductions for Argumentation and Treewidth}},
  author    = {Fichte, Johannes Klaus and Hecher, Markus and Mahmood, Yasir and Meier, Arne},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2021},
  pages     = {1880-1886},
  doi       = {10.24963/IJCAI.2021/259},
  url       = {https://mlanthology.org/ijcai/2021/fichte2021ijcai-decomposition/}
}