天津行政学院学报

人工智能的嵌入不仅推动了治理工具与制度结构的创新，更促使治理理性从制度理性、工具理性、价值理性向认知理性演化。从治理理性演化的理论视角出发，基于系统科学与认知智能理论的分析表明，“智能治理”是“人工智能+”行动下公共治理的新范式。在理论生成维度，智能治理通过算法智能、协同智能与制度智能的耦合，构建以认知生成为核心的本体论模型，并确立了生成式与模拟式的认识论基础。在运行逻辑维度，其具象化为算法结构的计算流程、协同体系的作业网络与制度机制的调节回路，通过智能中枢的系统集成实现“感知—决策—执行—反馈”的动态闭环。智能治理由此完成了治理理性的再组织，推动国家治理现代化由制度驱动向认知驱动转型。将人工智能纳入治理理性演化框架，揭示了智能治理的理论生成逻辑与运行机制，为理解“人工智能+”时代的公共治理变革提供了新的分析视角。

The embedding of AI not only promotes innovation in governance tools and institutional structures but also drives the evolution of governance rationality from institutional, instrumental, and value rationality to cognitive rationality. From the theoretical perspective of rationality evolution and utilizing systems science and cognitive intelligence theories, this study proposes “Intelligent Governance” as a new paradigm of public governance under the”“AI+” initiative. In terms of theoretical generation, Intelligent Governance constructs an ontological model centered on cognitive generation through the coupling of algorithmic intelligence, collaborative intelligence, and institutional intelligence, establishing an epistemological foundation based on generative and simulative logic. In terms of operational logic, it materializes into the computational processes of algorithmic structures, the operational networks of collaborative systems, and the regulatory loops of institutional mechanisms, achieving a dynamic closed loop of “sensing-decision-execution-feedback” through the integration of an intelligent hub. Consequently, Intelligent Governance achieves the reorganization of governance rationality, promoting the transformation of national governance modernization from being institution-driven to cognition-driven. By incorporating AI into the framework of governance rationality evolution, this study reveals the theoretical generation logic and operational mechanisms of Intelligent Governance, providing a new analytical perspective for understanding public governance reform in the “AI+” era.