Fudge: A light-weight solver for abstract argumentation based on SAT reductions
Artificial Intelligence
2021-09-08 v1
Abstract
We present Fudge, an abstract argumentation solver that tightly integrates satisfiability solving technology to solve a series of abstract argumentation problems. While most of the encodings used by Fudge derive from standard translation approaches, Fudge makes use of completely novel encodings to solve the skeptical reasoning problem wrt. preferred semantics and problems wrt. ideal semantics.
Keywords
Cite
@article{arxiv.2109.03106,
title = {Fudge: A light-weight solver for abstract argumentation based on SAT reductions},
author = {Matthias Thimm and Federico Cerutti and Mauro Vallati},
journal= {arXiv preprint arXiv:2109.03106},
year = {2021}
}
Comments
Part of ICCMA 2021 proceedings