民主主導的機制：動態同意工程的系統動力學範式

摘要

傳統政治傳播框架運作於線性、事件驅動之預設下，將選民說服視為一種靜態的交易性功能。本文提出「動態同意工程」（Dynamic Consent Engineering, DCE），這是一套新穎的跨學科典範，將愛德華·伯內斯（Edward Bernays）的公共關係基礎原則與系統動力學之S-E-E-D（滾雪球、均衡、彈性、主導）框架加以綜合。透過將伯內斯式操作限制擴展為四維資源矩陣（在人力、心智資本與財務資本之外，納入演算法媒體基礎設施），我們以數學方式形式化民主制度如何建構、優化並維繫政治主導權。我們將伯內斯經典的八步驟工程流程直接映射至非線性回饋迴路、資訊時間滯延及人口承載力之上。透過對系統性回饋結構的嚴謹建模，我們分離出政治彈性、政策阻力高原期與閾值觸發之信任崩潰的動態根本成因。最後，我們建立四步驟診斷流程，並透過歷史參考模式驗證該框架，證明長期政治穩定並非取決於短暫的修辭操作，而在於政策執行與動態回饋校準之間的結構性同步。

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 Finally, we establish a four-step diagnostic pipeline and validate the framework via historical reference mode verification, demonstrating that long-term political stability depends not on ephemeral rhetoric, but on the structural synchronization of policy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