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    题名: On the complexity of the El Farol Bar Game: A sensitivity analysis
    作者: 陳樹衡
    Chen, Shu-Heng
    Gostoli, Umberto
    贡献者: 經濟系
    关键词: Complex networks;Agent-based model;Economic efficiency;El Farol bar problem;Inequity aversion;Inherent complexity;Keeping-up-with-the-Joneses;Neighborhood size;Social preference;Sensitivity analysis
    日期: 2016-04
    上传时间: 2017-08-22 16:35:21 (UTC+8)
    摘要: In this paper, we carry out a sensitivity analysis for an agentbased model of the use of public resources as manifested by the El Farol Bar problem. An early study using the same model has shown that a good-society equilibrium, characterized by both economic efficiency and economic equality, can be achieved probabilistically by a von Neumann network, and can be achieved surely with the presence of some agents having social preferences, such as the inequity-averse preference or the `keeping-up-with-the-Joneses` preference. In this study, we examine this fundamental result by exploring the inherent complexity of the model; specifically, we address the effect of the three key parameters related to size, namely, the network size, the neighborhood size, and the memory size. We find that social preferences still play an important role over all the sizes considered. Nonetheless, it is also found that when network size becomes large, the parameter, the bar capacity (the attendance threshold), may also play a determining role.
    關聯: Simulation Series, 48(1), 25-32
    数据类型: conference
    显示于类别:[經濟學系] 會議論文

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