Yes, no, maybe, I don’t know: Complexity and application of abstract argumentation with incomplete knowledge

Author:

Mailly Jean-Guy1

Affiliation:

1. LIPADE, Université de Paris, Paris, France. E-mail: jean-guy.mailly@u-paris.fr

Abstract

Abstract argumentation, as originally defined by Dung, is a model that allows the description of certain information about arguments and relationships between them: in an abstract argumentation framework (AF), the agent knows for sure whether a given argument or attack exists. It means that the absence of an attack between two arguments can be interpreted as “we know that the first argument does not attack the second one”. But the question of uncertainty in abstract argumentation has received much attention in the last years. In this paper, we survey approaches that allow to express information like “There may (or may not) be an attack between these arguments”. We describe the main models that incorporate qualitative uncertainty (or ignorance) in abstract argumentation, as well as some applications of these models. We also highlight some open questions that deserve some attention in the future.

Publisher

IOS Press

Subject

Artificial Intelligence,Computational Mathematics,Computer Science Applications,Linguistics and Language

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5. L. Amgoud and D. Doder, Gradual semantics accounting for varied-strength attacks, in: Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS ’19, Montreal, QC, Canada, May 13–17, 2019, 2019, pp. 1270–1278.

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