Norm emergence via influential weight propagation in complex networks

Ryosuke Shibusawa, Toshiharu Sugawara

研究成果: Conference contribution

10 被引用数 (Scopus)

抄録

We propose an influence-based aggregative learning framework that facilitates the emergence of social norms in complex networks and investigate how a norm converges by learning through iterated local interactions in a coordination game. In society, humans decide to coordinate their behavior not only by exchanging information but also on the basis of norms that are often individually derived from interactions without a centralized authority. Coordination using norms has received much attention in studies of multi-agent systems. In addition, because agents often work as delegates of humans, they should have 'mental' models about how to interact with others and incorporate differences of opinion. Because norms make sense only when all or most agents have the same one and they can expect that others will follow, it is important to investigate the mechanism of norm emergence through learning with local and individual interactions in agent society. Our method of norm learning borrows from the opinion aggregation process while taking into account the influence of local opinions in tightly coordinated human communities. We conducted experiments showing how our learning framework facilitates propagation of norms in a number of complex agent networks.

本文言語English
ホスト出版物のタイトルProceedings - 2014 European Network Intelligence Conference, ENIC 2014
出版社Institute of Electrical and Electronics Engineers Inc.
ページ30-37
ページ数8
ISBN(電子版)9781479969142
DOI
出版ステータスPublished - 2014 12 12
イベント1st European Network Intelligence Conference, ENIC 2014 - Wroclaw, Poland
継続期間: 2014 9 292014 9 30

出版物シリーズ

名前Proceedings - 2014 European Network Intelligence Conference, ENIC 2014

Conference

Conference1st European Network Intelligence Conference, ENIC 2014
CountryPoland
CityWroclaw
Period14/9/2914/9/30

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Information Systems

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