提出人类级自主智能的三层功能架构，为强人工智能设计提供理论框架。
Constitutive Components for Human-Like Autonomous Artificial Intelligence
- 构建三层自主功能体系：感知交互、评估决策、自我演化。
- 划分反应式、弱自主、强自主三级演进路径，明确发展阶梯。
- 不依赖具体技术，可指导通用智能系统的设计与伦理考量。
本研究首次清晰界定构建类人自主人工智能实体所需的功能，并将其组织为三层功能层级。具体包括：核心功能层，实现与外部世界的交互；整合评估功能层，基于感知与记忆选择行动；自我修改功能层，动态重构行为准则与内部组件。基于此结构，提出包含反应式、弱自主和强自主三个阶段的渐进式自主模型，探讨其设计原理与发展机制。研究还分析了这些功能与现有AI设计方法的关系，讨论其作为通用智能基础的潜力，以及未来应用与伦理影响。通过提供独立于特定技术方法的理论框架，该工作深化了对自主性的理解，为设计具备强自主性的未来人工智能实体奠定了基础。
原文摘要 · Abstract (English)
This study is the first to clearly identify the functions required to construct artificial entities capable of behaving autonomously like humans, and organizes them into a three-layer functional hierarchy. Specifically, it defines three levels: Core Functions, which enable interaction with the external world; the Integrative Evaluation Function, which selects actions based on perception and memory; and the Self Modification Function, which dynamically reconfigures behavioral principles and internal components. Based on this structure, the study proposes a stepwise model of autonomy comprising reactive, weak autonomous, and strong autonomous levels, and discusses its underlying design principles and developmental aspects. It also explores the relationship between these functions and existing artificial intelligence design methods, addressing their potential as a foundation for general intelligence and considering future applications and ethical implications. By offering a theoretical framework that is independent of specific technical methods, this work contributes to a deeper understanding of autonomy and provides a foundation for designing future artificial entities with strong autonomy.
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