Ozaita Juan, Baronchelli Andrea, Sánchez Angel
Grupo Interdisciplinar de Sistemas Complejos, Departamento de Matemáticas, Universidad Carlos III de Madrid, 28911, Leganés, Madrid, Spain.
Unidad Mixta Interdisciplinar de Comportamiento y Complejidad Social (UMICCS) UC3M-UV-UZ, 28911, Leganés, Madrid, Spain.
Sci Rep. 2020 Dec 17;10(1):22219. doi: 10.1038/s41598-020-79222-0.
Observable social traits determine how we interact meaningfully in society even in our globalized world. While a popular hypothesis states that observable traits may help promote cooperation, the alternative explanation that they facilitate coordination has gained ground in recent years. Here we explore this possibility and present a model that investigates the role of ethnic markers in coordination games. In particular, we aim to test the role of reinforcement learning as the microscopic mechanism used by the agents to update their strategies in the game. For a wide range of parameters, we observe the emergence of a collective equilibrium in which markers play an assorting role. However, if individuals are too conformist or too greedy, markers fail to shape social interactions. These results extend and complement previous work focused on agent imitation and show that reinforcement learning is a good candidate to explain many instances where ethnic markers influence coordination.
可观察到的社会特征决定了我们如何在社会中进行有意义的互动,即使是在我们这个全球化的世界里。虽然一个流行的假设认为,可观察到的特征可能有助于促进合作,但近年来,另一种解释——它们促进协调——已逐渐被人们接受。在这里,我们探讨这种可能性,并提出一个模型,该模型研究族群标记在协调博弈中的作用。具体而言,我们旨在测试强化学习作为参与者在博弈中更新策略所使用的微观机制的作用。对于广泛的参数范围,我们观察到一种集体均衡的出现,其中标记发挥着分类作用。然而,如果个体过于墨守成规或过于贪婪,标记就无法塑造社会互动。这些结果扩展并补充了先前关注主体模仿的研究工作,并表明强化学习是解释许多族群标记影响协调的实例的一个很好的候选理论。