Department of Mathematics, Jadavpur University, Kolkata, West Bengal, India.
Physics and Applied Mathematics Unit, Indian Statistical Institute, Kolkata, West Bengal, India.
PLoS One. 2022 Aug 9;17(8):e0272719. doi: 10.1371/journal.pone.0272719. eCollection 2022.
Most environments favor defection over cooperation due to natural selection. Nonetheless, the emergence of cooperation is omnipresent in many biological, social, and economic systems, quite contrary to the well-celebrated Darwinian theory of evolution. Much research has been devoted to better understanding how and why cooperation persists among self-interested individuals despite their competition for limited resources. Here we go beyond a single social dilemma since individuals usually encounter various social challenges. In particular, we propose and study a mathematical model incorporating both the prisoner's dilemma and the snowdrift game. We further extend this model by considering ecological signatures like mutation and selfless one-sided contribution of altruist free space. The nonlinear evolutionary dynamics that results from these upgrades offer a broader range of equilibrium outcomes, and it also often favors cooperation over defection. With the help of analytical and numerical calculations, our theoretical model sheds light on the mechanisms that maintain biodiversity, and it helps to explain the evolution of social order in human societies.
由于自然选择,大多数环境都有利于背叛而不是合作。然而,合作的出现普遍存在于许多生物、社会和经济系统中,这与著名的达尔文进化论理论完全相反。为了更好地理解为什么尽管个体为有限的资源竞争,合作仍能在自利个体中持续存在,已经进行了大量研究。在这里,我们超越了单一的社会困境,因为个体通常会遇到各种社会挑战。特别是,我们提出并研究了一个包含囚徒困境和雪堆博弈的数学模型。我们通过考虑突变和利他主义自由空间的无私单边贡献等生态特征进一步扩展了这个模型。这些升级所带来的非线性进化动态提供了更广泛的平衡结果,并且通常也有利于合作而不是背叛。借助分析和数值计算,我们的理论模型阐明了维持生物多样性的机制,并有助于解释人类社会中社会秩序的演变。