Nakamura Eita
The Hakubi Center for Advanced Research, Kyoto University, Sakyo, Kyoto 606-8501, Japan and Graduate School of Informatics, Kyoto University, Sakyo, Kyoto 606-8501, Japan.
Phys Rev E. 2021 Sep;104(3-1):034309. doi: 10.1103/PhysRevE.104.034309.
Many cultural traits characterizing intelligent behaviors are now thought to be transmitted through statistical learning, motivating us to study its effects on cultural evolution. We conduct a large-scale music data analysis and observe that various statistical parameters of musical products approximately follow the beta distribution and other conjugate distributions. We construct a simple model of cultural evolution incorporating statistical learning and analytically show that conjugate distributions emerge at equilibrium in the presence of oblique transmission. The results demonstrate that the distribution of a cultural trait within a population depends on the individual's model for cultural production (the conjugate distribution law), and reveal interesting possibilities for theoretical and experimental studies on cultural evolution and social learning.
现在认为，许多表征智能行为的文化特征是通过统计学习来传递的，这促使我们研究其对文化进化的影响。我们进行了大规模的音乐数据分析，观察到音乐产品的各种统计参数大致遵循 beta 分布和其他共轭分布。我们构建了一个纳入统计学习的简单文化进化模型，并通过分析表明，在存在斜向传播的情况下，共轭分布在平衡状态下出现。结果表明，群体中文化特征的分布取决于个体的文化生产模型（共轭分布规律），并揭示了文化进化和社会学习理论与实验研究的有趣可能性。
