Improved Answer-Set Programming Encodings for Abstract Argumentation
Artificial Intelligence
2020-02-19 v2
Abstract
The design of efficient solutions for abstract argumentation problems is a crucial step towards advanced argumentation systems. One of the most prominent approaches in the literature is to use Answer-Set Programming (ASP) for this endeavor. In this paper, we present new encodings for three prominent argumentation semantics using the concept of conditional literals in disjunctions as provided by the ASP-system clingo. Our new encodings are not only more succinct than previous versions, but also outperform them on standard benchmarks.
Cite
@article{arxiv.1507.06689,
title = {Improved Answer-Set Programming Encodings for Abstract Argumentation},
author = {Sarah A. Gaggl and Norbert Manthey and Alessandro Ronca and Johannes P. Wallner and Stefan Woltran},
journal= {arXiv preprint arXiv:1507.06689},
year = {2020}
}
Comments
To appear in Theory and Practice of Logic Programming (TPLP), Proceedings of ICLP 2015