Evolutionary dynamics of public goods game with tax-based rewarding cooperators

IF 5.6 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Chaos Solitons & Fractals Pub Date : 2023-10-01 DOI:10.1016/j.chaos.2023.114030
Yong Shen, Wei Lei, Hongwei Kang, Mingyuan Li, Xingping Sun, Qingyi Chen
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Abstract

In public goods games, rewards have been demonstrated as an effective mechanism for sustaining cooperation among individuals. Rewarding cooperators are willing to incur personal costs to incentivize cooperative behavior. However, pure cooperators become second-order free-riders because they are not willing to bear these additional costs. To address this issue and ensure the effectiveness of the reward strategy, we propose the introduction of a tax mechanism. We examine the performance of strong altruistic rewarding cooperators and weak altruistic rewarding cooperators separately, with the support of the tax mechanism. Through theoretical analysis and numerical calculations, our study reveals that tax-based rewarding cooperators possess an evolutionary advantage in maintaining cooperation. In addition, we found that strong altruistic rewarding cooperators were more effective than weak altruistic rewarding cooperators in solving the second-order free-riders problem. Our findings contribute to the understanding of cooperative behavior in public goods games and provide insights into the design of mechanisms that promote sustained cooperation. The introduction of a tax mechanism in combination with strong altruistic reward strategies can offer an effective solution to the second-order free-riders problem.

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基于税收奖励合作者的公共产品博弈演化动力学
在公益游戏中,奖励已被证明是维持个人合作的有效机制。奖励合作者愿意承担个人成本来激励合作行为。然而,纯粹的合作者之所以成为二阶搭便车者,是因为他们不愿意承担这些额外的成本。为了解决这一问题并确保奖励战略的有效性,我们建议引入税收机制。在税收机制的支持下,我们分别考察了强利他主义奖励合作者和弱利他主义激励合作者的绩效。通过理论分析和数值计算,我们的研究表明,基于税收的奖励合作者在保持合作方面具有进化优势。此外,我们发现在解决二阶搭便车问题时,强利他主义奖励合作者比弱利他主义奖赏合作者更有效。我们的研究结果有助于理解公共产品游戏中的合作行为,并为促进持续合作的机制设计提供见解。税收机制的引入与强大的利他主义奖励策略相结合,可以为二阶搭便车问题提供有效的解决方案。
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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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