Skip to main content
placeholder image

A cyclical social learning strategy for robust convention emergence

Conference Paper


Abstract


  • Social conventions have been used as an efficient mechanism to facilitate coordination among agents. Establishing a convention in a decentralised manner has attracted much attention in the literature. Existing techniques on convention emergence are not robust. These techniques may establish sub-conventions under particular network structures. The emergence of sub-conventions indicates that agents in a society fail to conform to a single convention. As a result, the coordination among these agents is negatively affected. In this paper, we propose a strategy to avoid sub-conventions under diverse network structures. The proposed strategy requires agents to only have local views. We prove that a convention can be established using the proposed strategy. We also give empirical studies on the speed of convention emergence with various experimental settings.

Publication Date


  • 2018

Citation


  • Wang, Y., Ren, F. & Zhang, M. (2018). A cyclical social learning strategy for robust convention emergence. Proceedings - 2018 IEEE International Conference on Agents (ICA) (pp. 120-125). United States: IEEE.

Scopus Eid


  • 2-s2.0-85054487336

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/2156

Start Page


  • 120

End Page


  • 125

Place Of Publication


  • United States

Abstract


  • Social conventions have been used as an efficient mechanism to facilitate coordination among agents. Establishing a convention in a decentralised manner has attracted much attention in the literature. Existing techniques on convention emergence are not robust. These techniques may establish sub-conventions under particular network structures. The emergence of sub-conventions indicates that agents in a society fail to conform to a single convention. As a result, the coordination among these agents is negatively affected. In this paper, we propose a strategy to avoid sub-conventions under diverse network structures. The proposed strategy requires agents to only have local views. We prove that a convention can be established using the proposed strategy. We also give empirical studies on the speed of convention emergence with various experimental settings.

Publication Date


  • 2018

Citation


  • Wang, Y., Ren, F. & Zhang, M. (2018). A cyclical social learning strategy for robust convention emergence. Proceedings - 2018 IEEE International Conference on Agents (ICA) (pp. 120-125). United States: IEEE.

Scopus Eid


  • 2-s2.0-85054487336

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/2156

Start Page


  • 120

End Page


  • 125

Place Of Publication


  • United States