Epistemic Argumentation Framework
Tran Cao Son and Chiaki Sakama
Proceedings of the
16th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2019),
Lecture Notes in Artificial Intelligence, 11670, pages 718-732, Springer-Verlag, 2019.
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 the complexity of the problem of determining
whether or not an ω-epistemic labelling set exists.
Full Paper (PDF 103K)