Emergence of conventions in conflict situations in complex agent network environments

Toshiharu Sugawara*

*この研究の対応する著者

研究成果

1 被引用数 (Scopus)

抄録

We modelled the conflict situation using a Markov game on various complex networks and investigated the emergence of conventions for conflict resolutions in agent networks with various structures through pairwise reinforcement learning. We found the network structure strongly affected their emergence and the agents could sometimes learn no conventions although they could learn locally consistent actions for resolutions.

本文言語English
ホスト出版物のタイトル13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014
出版社International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
ページ1459-1460
ページ数2
ISBN(電子版)9781634391313
出版ステータスPublished - 2014 1 1
イベント13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014 - Paris, France
継続期間: 2014 5 52014 5 9

出版物シリーズ

名前13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014
2

Conference

Conference13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014
国/地域France
CityParis
Period14/5/514/5/9

ASJC Scopus subject areas

  • 人工知能

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