2020年度 人工知能学会全国大会（第34回）
2020年6月9日〜6月12日オンライン開催
2020年度 人工知能学会全国大会（第34回）
2020年6月9日〜6月12日オンライン開催
[1C4-OS-6b-04]Muti-Agent Argumentation: Challenges
〇Ryuta Arisaka1, Takayuki Ito1(1. Nagoya Institute of Technology)
There is an increasing interest in formally modelling many-person-argumentation. Multi-agent argumentation is an active research field within formal argumentation that studies the topic. In this work, we illustrate research challenges of multi-agent argumentation, particularly of that with 3 and more participants, which, compared to 2< scenarios, has not been widely studied. We highlight the recent progress.