School of Statistics and Mathematics, Yunnan University of Finance and Economics, Kunming, Yunnan 650221, China.
School of Software, Yunnan University, Kunming, Yunnan 650504, China.
Chaos. 2019 Jan;29(1):013139. doi: 10.1063/1.5059360.
We show that self-organized interdependence promotes the evolution of cooperation in interdependent networks. The evolution of connections between networks occurs according to the following rule: if a player often wins against its opponent (regardless of its strategy), it is allowed to form an external link with the corresponding partner in another network to obtain additional benefit; otherwise, the opportunity to increase its benefit is lost. Through numerical simulation, it is unveiled that cooperation can be significantly promoted due to interdependent network reciprocity. Interestingly, the synchronization of evolutionary processes emerges on both networks, and individuals can take advantage of interdependent network reciprocity when both the strategies and the coevolving times in the two networks are synchronous.
我们证明了自组织的相互依存促进了相互依存网络中合作的进化。网络之间的连接进化遵循以下规则:如果一个玩家经常战胜其对手(无论其策略如何),则允许它与另一个网络中的相应伙伴形成外部链接以获得额外的利益;否则,它将失去增加利益的机会。通过数值模拟,揭示了由于相互依存网络的互惠性,合作可以得到显著促进。有趣的是,两个网络上都出现了进化过程的同步,并且当两个网络中的策略和共同进化时间同步时,个体可以利用相互依存网络的互惠性。