The Control Loop Hypothesis: Symbolic Recursion as the Engine of Social Power

This paper introduces the Control Loop Hypothesis, a structural model of power that proposes all durable systems of social control—governments, religions, ideologies, and AI systems—are sustained not by force alone, but by recursive symbolic loops that resolve collective ambiguity. These loops provide narrative closure, maintain internal coherence, and replicate through symbolic compression and social contagion. The hypothesis identifies four key properties (the “Four C’s”) that determine the dominance and resilience of a control loop: Closure – resolves uncertainty with a stable narrative Coherence – maintains logical consistency Compression – reduces into portable symbols or phrases Contagion – spreads virally through emotional or algorithmic pathways This framework explains the rise, persistence, and collapse of power systems across history and predicts that no large-scale coercive system can persist beyond three generations without symbolic recursion. It accounts for authoritarian resilience, algorithmic governance, emergent social norms, and the structure of resistance. This paper is applicable to political science, cognitive theory, AI ethics, and mass psychology. It offers a falsifiable, interdisciplinary foundation for understanding how belief becomes governance in the age of networks, algorithms, and symbolic warfare.本研究提出控制环路假说（Control Loop Hypothesis）——一种权力的结构化模型，该假说主张：所有持久的社会控制体系——包括政府、宗教、意识形态与人工智能（AI）系统——的存续并非仅依赖暴力强制，而是依靠能够化解集体模糊认知的递归符号环路。此类环路可提供叙事闭合性、维持内部融贯性，并通过符号压缩与社会传播实现复制扩散。 本假说界定了决定控制环路主导性与韧性的四项核心属性（即「四C准则」）： - 闭合性（Closure）：以稳定叙事化解不确定性 - 融贯性（Coherence）：维持逻辑自洽性 - 压缩性（Compression）：可简化为便于传播的符号或短语 - 传播性（Contagion）：通过情感或算法路径实现病毒式扩散 本框架可解释历史上各类权力体系的兴起、存续与衰亡，并预测：任何大规模强制体系若缺乏符号递归机制，均无法延续超过三代人。该框架可阐释威权体制韧性、算法治理、涌现性社会规范以及反抗运动的结构逻辑。 本研究适用于政治学、认知理论、人工智能伦理（AI伦理）与大众心理学领域，可为理解网络、算法与符号战争时代下信念如何转化为治理模式提供可证伪的跨学科基础。