General Agent Dynamics: Domain Structure Evolution and Operational Mechanisms Based on Complex Systems开放复杂系统的中间层本体与统一动力学框架--1通用智能体动力学:领域结构演化与运行机制

Current intelligence research remains mired in the bottleneck of "digital centrism" characterized by parameter fitting, failing to explain how microscopic cognitive units emerge into macroscopic intelligent behaviors. The core deficiency lies in the absence of a middle-layer ontology bridging these two levels. Drawing upon the first principles of complex systems, this paper proposes a General Agent Dynamics theory. Its pivotal breakthrough lies in ontologizing the intelligent middle layer into "Domains," establishing them as independent causal agents. The theory elucidates the mechanisms of generation, steady-state maintenance, and evolution of these entities driven by "operational conflict minimization," constructs a three-layer nested architecture—"Core-Module-Domain," deeply reveals the micro-dynamics of resource competition between domains, the evolutionary stagnation risk of dominant domain solidification, and the dynamic balance regulation mechanism of the system core, and establishes the intrinsic correlation between agent evolutionary perfection and high-adaptation state. This research bridges the paradigmatic gap from "numerical fitting" to "structural evolution," filling the "ontological void" in intelligence science and providing a novel dynamical foundation for understanding human intelligence, explaining individual behavioral differences, and analyzing multi-agent interactions. 现有智能理论研究深陷"数字中心主义"的参数拟合瓶颈,将人类智能还原为可数值化的静态优化问题,忽视其作为复杂系统的动态结构演化本质,无法解释微观认知单元如何涌现为宏观智能行为,核心症结在于缺失连接二者的中间层本体。本文基于复杂系统第一性原理,提出通用智能体动力学理论,核心突破在于将智能中间层本体化为"领域",确立其作为独立因果主体的地位。理论阐明了领域在运行冲突最小化驱动下的生成、稳态维持与演化机制,构建了"内核-模组-领域"三层嵌套架构,深入揭示了领域间资源争夺的微观动力学、主导领域固化的演化阻滞风险与系统内核的动态平衡调节机制,建立了智能体演化完善度与高适配状态的内在关联。该研究跨越了从"数值拟合"到"结构演化"的范式鸿沟,填补了智能科学的"本体缺口",为理解人类智能、解释个体行为差异、分析多智能体互动提供了全新的动力学基础。