与协同和当地互动的合作可能比单独合作更糟糕
Cooperation with both synergistic and local interactions can be worse than each alone
摘要：
从多细胞生物到人类社会，合作无处不在。表明个体有限相互作用范围的群体结构对于理解这一问题至关重要。但是，在结构化种群中，涉及非线性收益的多重交互作用在多大程度上对合作起作用仍然是一个大问题。在这里，我们展示了一个规则，它决定了合作的出现和稳定，在多个折扣，线性和协同作用。通过对同质和异质结构种群的仿真验证了该规则的有效性。我们发现，越多的邻居有合作的困难，以发展为多个相互作用的线性和折扣。然而，对于协同的情况下，不同于它的配对对应，适度数量的邻居可能是最坏的，这表明协同相互作用与陌生人，但不与邻居。我们的研究结果表明，单独促进合作的不同因素的组合可能比每个单一因素的组合更糟糕。
英文摘要：
Cooperation is ubiquitous ranging from multicellular organisms to human societies. Population structures indicating individuals' limited interaction ranges are crucial to understand this issue. But it is still at large to what extend multiple interactions involving nonlinearity in payoff play a role on cooperation in structured populations. Here we show a rule, which determines the emergence and stabilization of cooperation, under multiple discounted, linear, and synergistic interactions. The rule is validated by simulations in homogenous and heterogenous structured populations. We find that the more neighbors there are the harder for cooperation to evolve for multiple interactions with linearity and discounting. For synergistic scenario, however, distinct from its pairwise counterpart, moderate number of neighbors can be the worst, indicating that synergistic interactions work with strangers but not with neighbors. Our results suggest that the combination of different factors which promotes cooperation alone can be worse than that with every single factor.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
