General Agent Dynamics: Domain Structure Evolution and Operational Mechanisms Based on Complex Systems通用智能体动力学:基于复杂系统的领域结构演化与运行机制

Current AGI research remains mired in the bottleneck of “digital centrism” characterized by parameter fitting, failing to explain how microscopic units emerge into macroscopic intelligence. 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 that bridge microscopic foundations and macroscopic behaviors. The theory elucidates the mechanisms of generation, steady-state maintenance, and evolution of these entities driven by “operational conflict minimization,” and constructs a three-layer nested architecture—“Core-Module-Domain”—centered on domains. 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 AGI architecture design, behavioral interpretation, and system collaboration.