School of Information, Xi'an University of Finance and Economics, Xi'an 710100, China.
School of Science, Beijing University of Posts and Telecommunications, Beijing 100876, China.
Chaos. 2022 Apr;32(4):043114. doi: 10.1063/5.0084901.
In nature and human society, social relationships and behavior patterns are usually unpredictable. In any interaction, individuals will constantly have to deal with prior uncertainty. The concept of "reputation" can provide some information to mitigate such uncertainty. In previous studies, researchers have considered that only cooperators are able to maintain a high reputation; no matter the circumstances of a defector, they are classified as a faithless individual. In reality, however, some individuals will be forced to defect to protect themselves against exploitation. Therefore, it makes sense that defectors in bad circumstances could also obtain higher reputations, and cooperators can maintain higher reputations in comfortable circumstances. In this work, the reputations of individuals are calculated using the fraction of their neighbors who have the same strategy. In this way, some defectors in a population may obtain higher reputations than some cooperators. We introduce this reputation rule using heterogeneous investments in public goods games. Our numerical simulation results indicate that this reputation rule and heterogeneous investments can better stimulate cooperation. Additionally, stronger investment heterogeneity can further increase the level of cooperation. To explain this phenomenon, dynamical evolution is observed in Monte Carlo simulations. We also investigated the effects of the noise intensity of the irrational population and the original proportion of cooperation in the population. The robustness of this cooperation model was also considered with respect to the network structure and total investment, and we found that the conclusions remained the same.
在自然界和人类社会中,社会关系和行为模式通常是不可预测的。在任何互动中,个体将不断地应对先前的不确定性。“声誉”的概念可以提供一些信息来减轻这种不确定性。在以前的研究中,研究人员认为只有合作者才能保持高声誉;无论背叛者的情况如何,他们都被归类为失信个体。然而,在现实中,一些个体将被迫背叛以保护自己免受剥削。因此,在恶劣环境下的背叛者也可能获得更高的声誉,而合作者在舒适的环境下也可以保持更高的声誉,这是有道理的。在这项工作中,个体的声誉是通过具有相同策略的邻居的比例来计算的。这样,群体中的一些背叛者可能会获得比一些合作者更高的声誉。我们使用公共物品博弈中的异质投资来引入这种声誉规则。我们的数值模拟结果表明,这种声誉规则和异质投资可以更好地激发合作。此外,更强的投资异质性可以进一步提高合作水平。为了解释这一现象,在蒙特卡罗模拟中观察了动态演化。我们还研究了非理性群体的噪声强度和群体中原始合作比例的影响。我们还考虑了该合作模型对网络结构和总投资的稳健性,发现结论保持不变。