IJCAI 2021poster16 citations

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.

Knowledge Representation and Reasoning: Computational Complexity of ReasoningKnowledge Representation and Reasoning: Computational Models of ArgumentConstraints and SAT: Constraint Satisfaction
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},
}
Decomposition-Guided Reductions for Argumentation and Treewidth · IJCAI 2021