English

The MatrixX Solver For Argumentation Frameworks

Artificial Intelligence 2021-10-01 v1

Abstract

MatrixX is a solver for Abstract Argumentation Frameworks. Offensive and defensive properties of an Argumentation Framework are notated in a matrix style. Rows and columns of this matrix are systematically reduced by the solver. This procedure is implemented through the use of hash maps in order to accelerate calculation time. MatrixX works for stable and complete semantics and was designed for the ICCMA 2021 competition.

Cite

@article{arxiv.2109.14732,
  title  = {The MatrixX Solver For Argumentation Frameworks},
  author = {Maximilian Heinrich},
  journal= {arXiv preprint arXiv:2109.14732},
  year   = {2021}
}

Comments

Part of ICCMA 2021 proceedings

R2 v1 2026-06-24T06:29:54.460Z