用社会引力场模拟教育系统，让规则自动生成行为。
EDU-MATRIX: A Society-Centric Generative Cognitive Digital Twin Architecture for Secondary Education
- 以社会空间为本，规则随位置动态注入代理。
- 94.1%对话一致性，知识如流体演化出新范式。
- 安全约束由社交位置自然生成，适合教育仿真研究。
现有多智能体仿真常陷入‘以个体为中心’的悖论：规则被硬编码于个体，导致复杂社会动态僵化且难以契合教育价值。本文提出EDU-MATRIX，一种面向中学教育的社会中心型生成式认知数字孪生架构，将模拟焦点从‘人’转向‘带有引力场的社会空间’。提出三项核心贡献：(1) 环境上下文注入引擎（ECIE），作为‘社会微内核’，根据代理的空间-时间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‘流动胶囊’形式存在，代理合成生成新范式，实现高对话一致性（94.1%）；(3) 基于角色拓扑的内生对齐机制，安全约束由代理在社交图中的位置自然衍生，而非依赖外部过滤。系统部署为包含2,400个代理的中学数字孪生，验证了‘社会引力’（规则）与‘认知流体’（知识）交互可生成涌现的、价值观对齐的行为（社会聚类系数：0.72）。
原文摘要 · Abstract (English)
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).
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