Time delay effects on evolutionary dynamics of N-player trust game with diverse investment behaviors

IF 3.5 2区 数学 Q1 MATHEMATICS, APPLIED Applied Mathematics and Computation Pub Date : 2024-11-11 DOI:10.1016/j.amc.2024.129177
Xin Su , Ruqiang Guo , Shijia Hua , Linjie Liu , Liang Zhang
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Abstract

Among unrelated individuals, the emergence and maintenance of trust has always been a pressing issue to address, one that has garnered considerable attention through the framework provided by trust games. However, few studies have considered the effects of time delay in trust games. Given that decision-makers in trust games inherently exhibit lagged responses when observing the market, we explore the potential effects of time delay on the evolution of trust and develop an N-player trust game model based on investment behavior with time-delayed expected returns. We note that the system exhibits a stable interior equilibrium point, implying that investors and trustworthy trustees can coexist stably in the population, when the time delay is relatively small. Conversely, when the time delay is moderately large, the system exhibits a stable limit cycle, where the proportion in the population show oscillatory dynamics. Furthermore, we analyze the system's Hopf bifurcation points, identifying all critical thresholds responsible for inducing transitions under various conditions. The above theoretical results have been validated by numerical simulations.
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时间延迟对具有不同投资行为的 N 人信任博弈进化动态的影响
在不相关的个体中,信任的产生和维持一直是一个亟待解决的问题,信任博弈提供的框架使这一问题备受关注。然而,很少有研究考虑信任博弈中时间延迟的影响。鉴于信任博弈中的决策者在观察市场时会表现出固有的滞后反应,我们探讨了时间延迟对信任演变的潜在影响,并建立了一个基于投资行为的 N 人信任博弈模型,该模型具有时间延迟的预期收益。我们注意到,当时间延迟相对较小时,系统表现出稳定的内部均衡点,这意味着投资者和值得信赖的受托人可以在人群中稳定共存。相反,当时间延迟适度增大时,系统会出现一个稳定的极限循环,即群体中的比例呈现振荡动态。此外,我们还分析了系统的霍普夫分岔点,确定了在各种条件下诱导过渡的所有临界阈值。数值模拟验证了上述理论结果。
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来源期刊
CiteScore
7.90
自引率
10.00%
发文量
755
审稿时长
36 days
期刊介绍: Applied Mathematics and Computation addresses work at the interface between applied mathematics, numerical computation, and applications of systems – oriented ideas to the physical, biological, social, and behavioral sciences, and emphasizes papers of a computational nature focusing on new algorithms, their analysis and numerical results. In addition to presenting research papers, Applied Mathematics and Computation publishes review articles and single–topics issues.
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