环境影响效益下的公共产品博弈模型

IF 5.6 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Ye Yuan , Yan Luo , Qiuhui Pan , Liyan Gao , Mingfeng He
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引用次数: 0

摘要

众所周知,在典型的经济环境中,投资环境影响收益,而收益反过来又影响投资行为。在这个公共物品博弈模型中,合作个体的数量代表了环境。考虑环境影响回报的两种方式:良好的环境可以吸引投资,从而增加回报;良好的环境可以导致饱和,导致投资者离开,降低回报。在这两种情况下,本文探讨了合作的演变。结果表明,当环境提高收益时,可以有效地促进合作,但这种提高的程度对合作水平的影响不大。相反,当环境减少回报时,它会抑制合作,并且减少越大,合作水平下降得越多。此外,定义好或坏环境的标准越严格,两种情况下的合作水平就越高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A public goods game model under environmental impact benefits
It is well known that in a typical economic environment, the investment environment influences returns, and returns in turn shape investment behavior. In this public goods game model, the number of cooperating individuals represents the environment. Considers two ways in which the environment impacts returns: a good environment can attract investments, thereby increasing returns and a good environment can lead to saturation, causing investors to leave and reducing returns. In both scenarios, the paper explores the evolution of cooperation. The results show that when the environment enhances returns, it can effectively promote cooperation, although the extent of this enhancement has little impact on the level of cooperation. Conversely, when the environment diminishes returns, it inhibits cooperation, and the greater the reduction, the more the level of cooperation decreases. Additionally, the stricter the criteria for defining a good or bad environment, the higher the level of cooperation in both scenarios.
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来源期刊
Chaos Solitons & Fractals
Chaos Solitons & Fractals 物理-数学跨学科应用
CiteScore
13.20
自引率
10.30%
发文量
1087
审稿时长
9 months
期刊介绍: Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.
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