Reconstruction of micro-dynamics characterizing human decision-making behavior in repeated social dilemmas

IF 3.5 2区 数学 Q1 MATHEMATICS, APPLIED
Luhe Yang , Yongpeng Ning , Lianzhong Zhang
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引用次数: 0

Abstract

Exploring evolutionary updating rules more consistent with individual cognitive processes is crucial to the study of human cooperation. A considerable number of dynamic models describing human decision-making behavior lack empirical evidence. We have conducted a behavioral experiment and proposed a hypothesis that human players make decisions based on proportional change rather than absolute difference of payoffs. Thus we can reconstruct the micro-dynamics, namely individual strategy updating rules, with a singular function considering the individual's choice to cooperate and defect separately. We find the micro-dynamics evolve over time and our dynamic model can well predict the evolution of cooperation. Furthermore, combined with the conception “elasticity” commonly used in economics, we reveal the relationship between the intrinsic property of population and players’ subjective decision intentions. Our findings provide a novel framework for measuring human decision-making behavior with bounded rationality in repeated social dilemmas.
重复社会困境中人类决策行为的微观动力学特征重建
探索与个体认知过程更一致的进化更新规则对研究人类合作至关重要。相当多描述人类决策行为的动态模型缺乏经验证据。我们进行了一个行为实验,并提出了一个假设,即人类玩家根据比例变化而不是绝对差异做出决定。因此,我们可以用一个单独考虑个体合作和背叛选择的奇异函数来重构微观动力学,即个体策略更新规则。研究发现,微观动力学是随着时间的推移而演变的,我们的动态模型可以很好地预测合作的演变。结合经济学中常用的“弹性”概念,揭示了人口的内在属性与参与者主观决策意图之间的关系。我们的研究结果为在重复的社会困境中衡量人类有限理性的决策行为提供了一个新的框架。
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来源期刊
CiteScore
7.90
自引率
10.00%
发文量
755
审稿时长
36 days
期刊介绍: Applied Mathematics and Computation addresses work at the interface between applied mathematics, numerical computation, and applications of systems – oriented ideas to the physical, biological, social, and behavioral sciences, and emphasizes papers of a computational nature focusing on new algorithms, their analysis and numerical results. In addition to presenting research papers, Applied Mathematics and Computation publishes review articles and single–topics issues.
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