University of Wollongong
Browse

A cyclical social learning strategy for robust convention emergence

Download (637.73 kB)
conference contribution
posted on 2024-11-14, 11:31 authored by Yuchen Wang, Fenghui RenFenghui Ren, Minjie ZhangMinjie Zhang
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.

History

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.

Parent title

Proceedings - 2018 IEEE International Conference on Agents, ICA 2018

Pagination

120-125

Language

English

RIS ID

130856

Usage metrics

    Categories

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC