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反馈演化博弈中的混合奖惩策略在公共资源治理中的应用。

Hybrid reward-punishment in feedback-evolving game for common resource governance.

机构信息

College of Science, <a href="https://ror.org/0051rme32">Northwest A &amp; F University</a>, Yangling 712100, China.

出版信息

Phys Rev E. 2024 Sep;110(3-1):034301. doi: 10.1103/PhysRevE.110.034301.

DOI:10.1103/PhysRevE.110.034301
PMID:39425348
Abstract

How to maintain the sustainability of common resources is a persistent challenge, as overexploiters often undermine collective efforts by prioritizing personal gain. To mitigate the overexploitation of resources by violators, previous theoretical studies have revealed that the introduction of additional incentives, whether to reward rule-abiding cooperators or to punish those who overexploit, can be beneficial for the sustainability of common resources when the resource growth rate is not particularly low. However, these studies have typically considered rewarding and punishing in isolation, thus overlooking the role of their combination in common resource governance. Here, we introduce a hybrid incentive strategy based on reward and punishment within a feedback-evolving game, in which there is a complex interaction between human decision making and resource quantity. Our coevolutionary dynamics reveal that resources will be depleted entirely, even with cooperative strategies for prudent exploitation, when resource growth is slow. When the rate of resource growth is not particularly low, we find that the coupled system can generate a state where resource sustainability and cooperation can be maintained. Furthermore, when the rate of resource growth is moderate, we find that achieving this state cannot simply allocate all incentive budgets to reward. In addition, the increase in per capita incentives significantly promotes the stability of this state.

摘要

如何维持共有资源的可持续性是一个持久的挑战,因为过度开采者往往会优先考虑个人利益,从而破坏集体努力。为了减轻违规者对资源的过度开采,先前的理论研究表明,当资源增长率不是特别低时,引入额外的激励措施,无论是奖励遵守规则的合作者还是惩罚过度开采者,都有利于共有资源的可持续性。然而,这些研究通常单独考虑奖励和惩罚,因此忽略了它们组合在共有资源治理中的作用。在这里,我们在一个反馈进化游戏中引入了一种基于奖励和惩罚的混合激励策略,其中人类决策和资源数量之间存在复杂的相互作用。我们的共同进化动力学表明,即使采用谨慎开采的合作策略,当资源增长缓慢时,资源也会被完全耗尽。当资源增长率不是特别低时,我们发现耦合系统可以产生一种资源可持续性和合作都可以维持的状态。此外,当资源增长率适中时,我们发现要实现这种状态,不能简单地将所有激励预算分配给奖励。此外,人均激励的增加显著促进了这种状态的稳定性。

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