民主主导的机制：动态同意工程的系统动力学范式

摘要

传统的政治传播框架建立在线性、事件驱动的前提之上，将选民说服视为一种静态的、交易性的功能。本文引入动态同意工程（Dynamic Consent Engineering, DCE），这是一个新颖的跨学科范式，将爱德华·伯内斯（Edward Bernays）的公共关系基本原理与系统动力学的S-E-E-D（雪球、均衡、弹性、支配）框架加以综合。通过将伯内斯式的操作约束扩展为四维资源矩阵（在人力、智力和资本之外纳入算法媒体基础设施），我们从数学上形式化了民主制度如何建构、优化并维持政治支配地位。我们将伯内斯的经典八步工程工作流直接映射到非线性反馈回路、信息时间滞后和人口承载能力之上。通过对系统性反馈结构的严格建模，我们分离出政治弹性、政策阻力平台期以及阈值触发的信任崩塌的动态根源。最后，我们建立了一个四步诊断流程，并通过历史参照模式验证对该框架进行校验，证明长期政治稳定所依赖的并非转瞬即逝的修辞，而是政策执行与动态反馈校准之间的结构性同步。

English

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 Finally, we establish a four-step diagnostic pipeline and validate the framework via historical reference mode verification, demonstrating that long-term political stability depends not on ephemeral rhetoric, but on the structural synchronization of policy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.