Rationalisation of Profiles of Abstract Argumentation Frameworks: Extended Abstract

Stephane Airiau, Elise Bonzon, Ulle Endriss, Nicolas Maudet, Julien Rossit

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence

Best Sister Conferences. Pages 4776-4780.

https://doi.org/10.24963/ijcai.2017/665

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Abstract

We review a recently introduced model in which each of a number of agents is endowed with an abstract argumentation framework reflecting her individual views regarding a given set of arguments. A question arising in this context is whether the diversity of views observed in such a situation is consistent with the assumption that every individual argumentation framework is induced by a combination of, first, some basic factual information and, second, the personal preferences of the agent concerned. We treat this question of rationalisability of a profile as an algorithmic problem and identify tractable and intractable cases. This is useful for understanding what types of profiles can reasonably be expected to occur in a multiagent system.

Keywords

  • Artificial Intelligence: multi-agent systems
  • Artificial Intelligence: knowledge representation and reasoning
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