Epistemic Argumentation Framework: Theory and Computation
Abstract
The paper introduces the notion of an epistemic argumentation framework (EAF) as a means to integrate the beliefs of a reasoner with argumentation. Intuitively, an EAF encodes the beliefs of an agent who reasons about arguments. Formally, an EAF is a pair of an argumentation framework and an epistemic constraint. The semantics of the EAF is defined by the notion of an ω-epistemic labelling set, where ω is complete, stable, grounded, or preferred, which is a set of ω-labellings that collectively satisfies the epistemic constraint of the EAF. The paper shows how EAF can represent different views of reasoners on the same argumentation framework. It also includes representing preferences in EAF and multi-agent argumentation. Finally, the paper discusses complexity issues and computation using epistemic logic programming.
Cite
Text
Sakama and Son. "Epistemic Argumentation Framework: Theory and Computation." Journal of Artificial Intelligence Research, 2020. doi:10.1613/JAIR.1.12121Markdown
[Sakama and Son. "Epistemic Argumentation Framework: Theory and Computation." Journal of Artificial Intelligence Research, 2020.](https://mlanthology.org/jair/2020/sakama2020jair-epistemic/) doi:10.1613/JAIR.1.12121BibTeX
@article{sakama2020jair-epistemic,
title = {{Epistemic Argumentation Framework: Theory and Computation}},
author = {Sakama, Chiaki and Son, Tran Cao},
journal = {Journal of Artificial Intelligence Research},
year = {2020},
pages = {1103-1126},
doi = {10.1613/JAIR.1.12121},
volume = {69},
url = {https://mlanthology.org/jair/2020/sakama2020jair-epistemic/}
}