提出八维分类框架，系统梳理智能体的自主能力层级。
Exploring Agentic Artificial Intelligence Systems: Towards a Typological Framework
- 构建包含八维度的等级化智能体分类框架。
- 通过人机协作验证并提炼出典型智能体类型。
- 为评估与展望智能体发展提供统一分析视角。
人工智能系统正从被动工具演变为能推理、适应和自主行动的智能体，减少对人工干预的依赖。尽管此类系统日益普及，但缺乏系统的分类与比较框架。本文提出一种智能体人工智能系统的类型学框架，引入八个定义其认知与环境自主性的维度，并采用多阶段方法构建与优化该框架。框架经由人机混合方式评估，并进一步提炼为具体类型。该框架使研究者与实践者能够分析不同水平的智能体自主性，为评估现有系统及预测未来智能体发展提供结构化视角。
原文摘要 · Abstract (English)
Artificial intelligence (AI) systems are evolving beyond passive tools into autonomous agents capable of reasoning, adapting, and acting with minimal human intervention. Despite their growing presence, a structured framework is lacking to classify and compare these systems. This paper develops a typology of agentic AI systems, introducing eight dimensions that define their cognitive and environmental agency in an ordinal structure. Using a multi-phase methodological approach, we construct and refine this typology, which is then evaluated through a human-AI hybrid approach and further distilled into constructed types. The framework enables researchers and practitioners to analyze varying levels of agency in AI systems. By offering a structured perspective on the progression of AI capabilities, the typology provides a foundation for assessing current systems and anticipating future developments in agentic AI.
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