人类合作是一种被广泛研究的现象，迄今已有多种解释，包括网络互惠机制以及融合社会与认知因素的行为机制。本研究考察了从众行为与网络结构对空间公共品博弈（Public Goods Game）中合作演化所起的联合影响。通过为智能体赋予不同的个体收益敏感度及邻域行为敏感度，我们在规则网络与复杂网络两类拓扑结构上探究了该异质种群的合作动力学。结果表明，从众行为与各类网络固有特征之间的相互作用可导致截然不同的结果：在规则拓扑中促进合作，而在异质性网络中则可能产生零效应甚至负效应。

Human cooperation is a phenomenon that has been extensively studied, and to date several explanations have been proposed, from network reciprocity to behavioral mechanisms that incorporate social and cognitive aspects. In this work, we studied the combined effect of conformity and network structure on the evolution of cooperation in the spatial Public Goods Game. By assigning agents different individual sensitivities to payoffs and neighborhood behavior, we explored the cooperative dynamics of this heterogeneous population on both regular and complex topologies. Our results show how the interaction between conformity and the distinctive features of each network can lead to very different outcomes, from the promotion of cooperation in regular topologies to null or negative effects in heterogeneous networks.