This paper aims to shed light on the evolutionary dynamics of diverse and social populations by introducing the rich expressiveness of generative models into the trait expression of social agent-based evolutionary models. Specifically, we focus on the evolution of personality traits in the context of a game-theoretic relationship as a situation in which inter-individual interests exert strong selection pressures. We construct an agent model in which linguistic descriptions of personality traits related to cooperative behavior are used as genes. The deterministic strategies extracted from Large Language Model (LLM) that make behavioral decisions based on these personality traits are used as behavioral traits. The population is evolved according to selection based on average payoff and mutation of genes by asking LLM to slightly modify the parent gene toward cooperative or selfish. Through preliminary experiments and analyses, we clarify that such a model can indeed exhibit the evolution of cooperative behavior based on the diverse and higher-order representation of personality traits. We also observed the repeated intrusion of cooperative and selfish personality traits through changes in the expression of personality traits, and found that the emerging words in the evolved gene well reflected the behavioral tendency of its personality in terms of their semantics.

翻译：本文旨在通过将生成模型丰富的表达能力引入基于社会智能体的进化模型特质表达中，揭示多样性与社会性群体的进化动力学特征。具体而言，我们聚焦于博弈论关系背景下人格特质的进化——一种个体间利益施加强大选择压力的情境。我们构建了一个智能体模型，其中将描述合作行为相关人格特质的语言表征作为基因，并将基于这些特质做出行为决策的大语言模型所提取的确定性策略作为行为特征。种群依据平均收益的选择机制进化，并通过要求大语言模型将亲代基因向合作或自私方向进行微调实现基因突变。通过初步实验与分析，我们阐明该模型确实能够基于人格特质的多样性与高阶表征展现合作行为的进化。我们还观察到通过人格特质表达的变化，合作性与自私性人格特质反复侵入的现象，并发现进化基因中出现的新词汇在语义层面很好地反映了其人格的行为倾向。