Department of Mathematics and Actuarial Science, Otterbein University, Westerville, OH 43081, USA.
School of Human Evolution and Social Change, Arizona State University, Tempe, AZ 85287, USA; Simon A. Levin Mathematical, Computational and Modeling Science Center, Arizona State University, Tempe, AZ 85287, USA.
J Theor Biol. 2021 May 7;516:110603. doi: 10.1016/j.jtbi.2021.110603. Epub 2021 Jan 26.
The volatility of an environment significantly impacts cooperative behavior. In environments where viability-threatening events occur on a shorter timescale than reproduction, it is reasonable to measure the costs and benefits of cooperation in terms of their direct effect on survival probability. Then, the number of offspring increases with lifespan. With such a model, is it possible for cooperation to be evolutionarily stable, and how does cooperation depend on the benefit and cost of such interactions, and the volatility of the environment? In this paper, we develop an N-player survivor's dilemma in which prisoner's dilemma payoffs in an iteration are survival rates, and expected lifespan is the measure of reproductive fitness. We investigate cost, benefit, and volatility parameter ranges where various cooperative behaviors may occur. We observe that free-riding results in indirect punishment as the cheated partner's early death leaves the defector vulnerable. For 2- and 3-player versions of the game, we identify parameter regions where the repeated game becomes equivalent to a Harmony, Stag Hunt, or Prisoner's Dilemma static game and discuss evolutionary stability. We find that with two individuals, the initial fraction of cooperators necessary for cooperation to be selected for decreases as the benefit to cost ratio increases and as environmental volatility decreases. With the presence of a third individual, there also exists a parameter region where cooperation can invade an initially all-defecting population.
环境的不稳定性会显著影响合作行为。在那些比繁殖更短的时间尺度上发生生存威胁事件的环境中,根据合作对生存概率的直接影响来衡量其成本和收益是合理的。然后,后代的数量随着寿命的延长而增加。在这样的模型中,合作是否有可能是进化稳定的,合作如何取决于这种相互作用的收益和成本,以及环境的不稳定性?在本文中,我们在 N 个玩家的幸存者困境中发展了一种情况,其中在一次迭代中的囚徒困境收益是生存率,而预期寿命是生殖适应性的衡量标准。我们研究了各种合作行为可能出现的成本、收益和不稳定性参数范围。我们观察到,搭便车会导致间接惩罚,因为被欺骗的伙伴过早死亡会使背叛者变得脆弱。对于游戏的 2 人和 3 人版本,我们确定了重复博弈相当于和谐、 stag hunt 或囚徒困境静态博弈的参数区域,并讨论了进化稳定性。我们发现,对于两个人来说,合作被选择的必要的初始合作者的比例随着收益与成本比的增加和环境不稳定性的降低而降低。当存在第三个人时,也存在一个参数区域,在这个区域中,合作可以入侵最初全是缺陷的种群。