Explaining the emergence and maintenance of cooperation among selfish individuals from an evolutionary perspective remains a grand challenge in biology, economy, and social sciences. Social exclusion is believed to be an answer to this conundrum. However, previously related studies often assume one-shot interactions and ignore how free-riding is identified, which seem to be too idealistic. In this work, we consider repeated interactions where excluders need to pay a monitoring cost to identify free-riders for exclusion and free-riders cannot participate in the following possible game interactions once they are identified and excluded by excluders in the repeated interaction process. We reveal that the introduction of such exclusion can prevent the breakdown of cooperation in repeated group interactions. In particular, we demonstrate that an evolutionary oscillation among cooperators, defectors, and excluders can appear in infinitely large populations when early exclusion is implemented. In addition, we find that the population spends most of the time in states where cooperators dominate for early exclusion when stochastic mutation-selection is considered in finite populations. Our results highlight that early exclusion is successful in solving the mentioned enigma of cooperation in repeated group interactions.
翻译:从进化的角度解释自私个人合作的出现和保持,仍然是生物学、经济和社会科学中的一个重大挑战。社会排斥被认为是解决这一难题的答案。然而,以往的相关研究往往假定一次性互动,忽视如何确定自由驾驶,这似乎太理想主义了。在这项工作中,我们考虑到反复的相互作用,在这种相互作用中,排斥者需要支付监测费用,以识别被排斥的搭便车者和搭便车者,一旦在反复的互动进程中被排斥者查明并排除,他们就无法参与其后可能的游戏互动。我们发现,实行这种排斥可以防止反复群体互动中的合作崩溃。特别是,我们证明,在实施早期排斥时,协调者、叛变者和排外者之间的演进性振荡可以出现在无穷无尽的人群中。此外,我们发现,人口大部分时间都花在一些州,在有限的人口中考虑选取随机性突变。我们的结果突出表明,早期排斥成功地解决了反复群体互动中合作的谜题。