Social agents both internalize collective norms and reshape them through creative action, yet computational models have not captured this bidirectional process within a unified framework. We propose a multi-agent simulation model grounded in active inference that formalizes the dialectical constitution of social reality on a structured social network. Each agent maintains an internal generative model, communicates with neighbors to form social priors, creates novel observations, and selectively incorporates others' creations into memory. Simulation experiments demonstrate three main findings. First, informationally cohesive social groups emerge endogenously, with representational alignment mirroring the cluster topology of the underlying network. Second, a circular mutual constitution arises between social representations and the observation distribution, maintained through agents' creative acts that project representational structure onto the external world. Third, the propagation of creations exhibits selective, heterogeneous patterns distinct from the stable diffusion of social representations, indicating that agents construct cultural niches through local interaction dynamics. These results suggest that the interplay between social conformity and creative deviation can give rise to the endogenous formation and differentiation of shared social reality.

翻译：社会主体既内化集体规范，又通过创造性行为重塑规范，然而现有计算模型尚未在统一框架中捕捉这一双向过程。我们提出一种基于主动推理的多智能体仿真模型，在结构化社交网络上形式化描述社会现实的辩证构成。每个智能体维护内部生成模型，通过与邻居通信形成社会先验、生成新观察值，并有选择地将他人创造内容纳入记忆。仿真实验揭示三个主要发现：第一，信息凝聚性社会群体内生涌现，其表征对齐度与底层网络的聚类拓扑结构相吻合；第二，社会表征与观察分布之间存在循环互构关系，该关系通过智能体将表征结构投射至外部世界的创造性活动得以维持；第三，创造的传播呈现区别于社会表征稳定扩散的选择性异质模式，表明智能体通过局部交互动力学构建文化生态位。这些结果表明，社会从众性与创造性偏离之间的相互作用能够催生共享社会现实的内生形成与分化。