Complex and intense competition always exists in human society, in which people would inevitably feel anxiety due to failure. Anxious people would doubt their own strategies and try to change them. For the individuals, anxiety stems mainly from their past failures and from their concerns about the current lack of competitiveness, which could be identified as two sources of anxiety. Based on the Prisoner's Dilemma, we synthesize these sources of anxiety and propose a new model that can reflect the impact of anxiety on people's strategies. We consider the effect of anxiety on the evolution of a group in a square lattice network with periodic boundaries, and propose the rules for quantifying the individual's anxiety and for updating the individual's strategies. Simulation results from our model show that if the players focus more on the past game records or have a strong resilience to stress, then this can lead to stable cooperation in the group. In addition, we consider the overanxious individuals in the group and explore the ways to reduce the number of overanxious individuals by analyzing them in terms of the combined effects of the peer pressure and the temptation to betray.

中文翻译：

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焦虑对合作行为的影响：网络进化博弈论方法

人类社会始终存在着复杂而激烈的竞争，人们难免会因失败而感到焦虑。焦虑的人会怀疑自己的策略并试图改变它们。对于个体来说，焦虑主要源于过去的失败和对当前缺乏竞争力的担忧，这可以被认为是焦虑的两个来源。基于囚徒困境，我们综合了这些焦虑来源，提出了一个可以反映焦虑对人们策略影响的新模型。我们考虑了焦虑对具有周期性边界的方格网络中群体演化的影响，并提出了量化个体焦虑和更新个体策略的规则。我们模型的模拟结果表明，如果玩家更多地关注过去的游戏记录或具有较强的抗压能力，那么这可以导致群体中的稳定合作。此外，我们还考虑了群体中过度焦虑的个体，并通过同侪压力和背叛诱惑的综合影响进行分析，探索减少过度焦虑个体数量的方法。