School of Mathematical Sciences, Beihang University, Beijing, China.
Key laboratory of Mathematics, Informatics and Behavioral Semantics (LMIB), Beihang University, Beijing, China.
PLoS Comput Biol. 2023 Jun 28;19(6):e1011269. doi: 10.1371/journal.pcbi.1011269. eCollection 2023 Jun.
Environmental changes play a critical role in determining the evolution of social dilemmas in many natural or social systems. Generally, the environmental changes include two prominent aspects: the global time-dependent fluctuations and the local strategy-dependent feedbacks. However, the impacts of these two types of environmental changes have only been studied separately, a complete picture of the environmental effects exerted by the combination of these two aspects remains unclear. Here we develop a theoretical framework that integrates group strategic behaviors with their general dynamic environments, where the global environmental fluctuations are associated with a nonlinear factor in public goods game and the local environmental feedbacks are described by the 'eco-evolutionary game'. We show how the coupled dynamics of local game-environment evolution differ in static and dynamic global environments. In particular, we find the emergence of cyclic evolution of group cooperation and local environment, which forms an interior irregular loop in the phase plane, depending on the relative changing speed of both global and local environments compared to the strategic change. Further, we observe that this cyclic evolution disappears and transforms into an interior stable equilibrium when the global environment is frequency-dependent. Our results provide important insights into how diverse evolutionary outcomes could emerge from the nonlinear interactions between strategies and the changing environments.
环境变化在许多自然或社会系统中对社会困境的演化起着至关重要的作用。一般来说,环境变化包括两个突出的方面:全球时变波动和局部策略相关反馈。然而,这两种类型的环境变化的影响仅被分别研究,这两种方面组合施加的环境影响的全貌仍不清楚。在这里,我们开发了一个理论框架,将群体策略行为与其一般动态环境相结合,其中全球环境波动与公共物品博弈中的非线性因素相关,局部环境反馈由“生态进化博弈”描述。我们展示了在静态和动态全球环境中,局部博弈-环境演化的耦合动力学有何不同。具体来说,我们发现群体合作和局部环境的循环演化出现了,这在相平面中形成了一个内部不规则的循环,具体取决于全球和局部环境相对于策略变化的相对变化速度。此外,我们观察到当全球环境是频率相关时,这种循环演化会消失并转变为内部稳定平衡。我们的结果提供了重要的见解,说明策略和变化的环境之间的非线性相互作用如何产生多样化的进化结果。