Departament de Fisica de la Matèria Condensada, Marti i Franques 1, Universitat de Barcelona, 08028, Barcelona, Spain.
Institute of Complex Systems (UBICS), Universitat de Barcelona, Martí i Franquès 1, E-08028, Barcelona, Spain.
Sci Rep. 2017 Aug 1;7(1):7087. doi: 10.1038/s41598-017-06933-2.
We present a model that takes into account the coupling between evolutionary game dynamics and social influence. Importantly, social influence and game dynamics take place in different domains, which we model as different layers of a multiplex network. We show that the coupling between these dynamical processes can lead to cooperation in scenarios where the pure game dynamics predicts defection. In addition, we show that the structure of the network layers and the relation between them can further increase cooperation. Remarkably, if the layers are related in a certain way, the system can reach a polarized metastable state. These findings could explain the prevalence of polarization observed in many social dilemmas.
我们提出了一个模型，该模型考虑了进化博弈动态和社会影响之间的耦合。重要的是，社会影响和博弈动态发生在不同的领域，我们将其建模为一个多重网络的不同层。我们表明，这些动态过程之间的耦合可以导致在纯博弈动态预测背叛的情况下出现合作。此外，我们还表明，网络层的结构及其之间的关系可以进一步增加合作。值得注意的是，如果层以某种方式相关，系统可以达到极化的亚稳态。这些发现可以解释在许多社会困境中观察到的极化现象的普遍性。
