民主支配的机制：动态同意工程的系统动力学范式
The Mechanics of Democratic Dominance: A System Dynamics Paradigm for Dynamic Consent Engineering
- Asia School of Business（亚洲商学院）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本文提出动态同意工程（DCE）这一跨学科范式，融合伯内斯公共关系原理与系统动力学S-E-E-D框架，通过建模揭示政治稳定取决于政策执行与反馈校准的结构同步。
AI中文摘要：
传统政治传播框架基于线性、事件驱动的假设，将选民说服视为静态的交易性功能。本文提出动态同意工程（Dynamic Consent Engineering，DCE）这一新兴跨学科范式，它将爱德华·伯内斯的公共关系基础原理与系统动力学的S-E-E-D（雪球、均衡、弹性、支配）框架相融合。通过将伯内斯式操作约束扩展为包含算法媒体基础设施、人力、脑力和资本的四维资源矩阵，我们从数学上形式化了民主制度如何构建、优化和维持政治支配。我们将伯内斯经典的八步工程工作流程直接映射到非线性反馈回路、信息时滞和人口承载能力上。通过对系统反馈结构的严格建模，我们分离出政治弹性、政策阻力平台和阈值触发的信任崩溃的动态根本原因。最后，我们建立了一个四步诊断流程，并通过历史参考模式验证对该框架进行了验证，证明长期政治稳定不取决于短暂的言辞，而取决于政策执行与动态反馈校准的结构同步。
英文摘要：
Traditional frameworks of political communication operate under linear, event-driven assumptions that treat voter persuasion as a static, transactional function. This paper introduces Dynamic Consent Engineering (DCE), a novel interdisciplinary paradigm that synthesizes Edward Bernays' foundational principles of public relations with the S-E-E-D (Snowball, Equilibrium, Elasticity, Dominance) framework of system dynamics. By expanding Bernaysian operational constraints into a four-dimensional resource matrix (incorporating algorithmic media infrastructure alongside manpower, mindpower, and capital), we mathematically formalize how democratic institutions construct, optimize, and sustain political dominance. We map Bernays' classic eight-step engineering workflow directly onto non-linear feedback loops, information time lags, and demographic carrying capacities. Through rigorous modeling of systemic feedback structures, we isolate the dynamic root causes of political elasticity, policy resistance plateaus, and threshold-triggered trust collapses. Finally, we establish a four-step diagnostic pipeline and validate the framework via historical reference mode verification, demonstrating that long-term political stability depends not on ephemeral rhetoric, but on the structural synchronization of policy execution and dynamic feedback calibration.
