Existing multi-agent simulations often suffer from the "Agent-Centric Paradox": rules are hard-coded into individual agents, making complex social dynamics rigid and difficult to align with educational values. This paper presents EDU-MATRIX, a society-centric generative cognitive digital twin architecture that shifts the paradigm from simulating "people" to simulating a "social space with a gravitational field." We introduce three architectural contributions: (1) An Environment Context Injection Engine (ECIE), which acts as a "social microkernel," dynamically injecting institutional rules (Gravity) into agents based on their spatial-temporal coordinates; (2) A Modular Logic Evolution Protocol (MLEP), where knowledge exists as "fluid" capsules that agents synthesize to generate new paradigms, ensuring high dialogue consistency (94.1%); and (3) Endogenous Alignment via Role-Topology, where safety constraints emerge from the agent's position in the social graph rather than external filters. Deployed as a digital twin of a secondary school with 2,400 agents, the system demonstrates how "social gravity" (rules) and "cognitive fluids" (knowledge) interact to produce emergent, value-aligned behaviors (Social Clustering Coefficient: 0.72).

翻译：现有的多智能体仿真常受困于"智能体中心悖论"：规则被硬编码至个体智能体内部，导致复杂社会动态僵化且难以与教育价值对齐。本文提出EDU-MATRIX，一种社会中心化的生成式认知数字孪生架构，将范式从模拟"人"转变为模拟"具有引力场的社会空间"。我们提出三项架构贡献：(1) 环境上下文注入引擎（ECIE），作为"社会微内核"，根据智能体的时空坐标动态注入制度规则（引力）；(2) 模块化逻辑演化协议（MLEP），知识以"流体"胶囊形式存在，智能体通过合成这些胶囊生成新范式，确保高达94.1%的对话一致性；(3) 基于角色拓扑的内生对齐机制，安全约束从智能体在社会图谱中的位置自然涌现，而非依赖外部过滤器。该系统作为拥有2400个智能体的中学数字孪生实例部署，实证展示了"社会引力"（规则）与"认知流体"（知识）如何相互作用，涌现出价值对齐的行为模式（社会聚类系数：0.72）。