The core bottleneck of long-term general intelligence research lies in the lack of middle-layer ontology between micro cognitive units and macro intelligent behaviors. The core dilemma of middle-layer construction lies in the closed-loop dilemma of cognition and construction: "without clear construction, it is difficult to form stable cognition, without basic cognition, it is difficult to complete boundary construction". Superimposed with multiple constraints of research paradigm limitations, disciplinary barriers, and research goal misalignment, relevant research has always been difficult to complete the substantial construction of the middle layer. Based on the published core frameworks of General Agent Dynamics and Domain Entity Theory, this paper adopts the phenomenological theory research paradigm, takes the observable concrete phenomena of personality and behavioral patterns as the anchor, completes the substantial construction of the middle layer from the bottom up, systematically sorts out three core difficulties in middle-layer construction, combined with the exploration path of middle-layer construction starting from the observation of personality and behavioral patterns, further introduces the spatiotemporal orthogonal decoupling framework of intelligent representation as a theoretical deepening hypothesis, clarifies the underlying representation logic of the two major internal and external cognitive clusters, improves the static structure and dynamic operation mechanism of the middle-layer ontology, and presents the expansion possibility from the perspective of "parameter fitting" to "structural evolution" in general intelligence research. From a purely theoretical dimension, this paper objectively evaluates the innovation value, academic significance and theoretical boundary of the middle-layer system, clarifies the existing limitations and future improvement directions of the theory, and provides a set of reference analytical framework for solving the subject-object dualism, the interpretation problem of complex system emergence and the AGI alignment dilemma. 通用智能研究长期面临的核心瓶颈,在于微观认知单元与宏观智能行为之间的中间层本体缺失。而中间层构建的核心困境,在于 "无清晰建构则难以形成稳定认知,无基础认知则难以完成边界建构" 的认知与建构闭环困境,叠加研究范式局限、学科壁垒、研究目标错位的多重约束,使得相关研究始终难以完成中间层的实体化建构。本文基于已发布的通用智能体动力学、领域实体论核心框架,采用唯象理论研究范式,以人格与行为规律的具象观察为锚点,自下而上完成中间层的实体化建构,系统梳理中间层构建的三类核心难点,结合从人格与行为规律观察出发的中间层建构探索路径,进一步引入智能表征时空正交解耦框架作为理论深化假说,理清了内因 - 外因两大认知集群的底层表征逻辑,完善了中间层本体的静态结构与动态运行机制,呈现通用智能研究中从 "参数拟合" 视角到 "结构演化" 视角的拓展可能。本文从纯理论维度,客观评估了该中间层体系的创新价值、学术意义与理论边界,理清了理论的现存局限与未来完善方向,为破解主客二元对立、复杂系统涌现解释难题与 AGI 对齐困境,提供一套可供参考的分析框架。 同时在理论框架下提出了对智能的定义: 智能,是以冲突最小化为核心调度原则、将不可直接处理的高维时空信息正交降维为空间锚定与时间流程两种格式、经由具有独立存续刚需的领域实体进行有损编译与内生演化、并通过领域界面与环境形成行动-感知双闭环的开放操作系统。
Zhili LING (Sat,) studied this question.
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