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Cooperation in the snowdrift game on directed small-world networks under self-questioning and noisy conditions

机译:在自问和嘈杂条件下在定向小世界网络上进行雪堆游戏中的合作

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Cooperation in the evolutionary snowdrift game with a self-questioning updating mechanism is studied on annealed and quenched small-world networks with directed couplings. Around the payoff parameter value r=0.5, we find a size-invariant symmetrical cooperation effect. While generally suppressing cooperation for r>0.5 payoffs, rewired networks facilitated cooperative behavior for r<0.5. Fair amounts of noise were found to break the observed symmetry and further weaken cooperation at relatively large values of r. However, in the absence of noise, the self-questioning mechanism recovers symmetrical behavior and elevates altruism even under large-reward conditions. Our results suggest that an updating mechanism of this type is necessary to stabilize cooperation in a spatially structured environment which is otherwise detrimental to cooperative behavior, especially at high cost-to-benefit ratios. Additionally, we employ component and local stability analyses to better understand the nature of the manifested dynamics.
机译:在具有定向耦合的退火和淬火小世界网络上,研究了具有自我质疑更新机制的进化雪堆游戏中的合作。在回报参数值r = 0.5周围,我们发现了大小不变的对称协作效果。虽然通常抑制r> 0.5收益的合作,但重新布线的网络有助于r <0.5的协作行为。发现大量噪声会破坏观察到的对称性,并在相对较大的r值下进一步削弱协作。但是,在没有噪音的情况下,即使在奖励很大的情况下,自我质疑机制也能恢复对称行为并提高利他主义。我们的结果表明,这种类型的更新机制对于在空间结构化的环境中稳定协作非常必要,否则,这对协作行为是有害的,尤其是在高成本效益比的情况下。此外,我们采用成分和局部稳定性分析来更好地了解所显示动力学的性质。

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