代理数字孪生：理解可能未来的能力分类
Agentic Digital Twins: A Taxonomy of Capabilities for Understanding Possible Futures
AI总结：
本文提出代理数字孪生的能力分类，探讨其在不同配置下的表现力与本体重构潜力。
摘要：
随着数字孪生（DTs）通过整合人工智能（AI）变得更加智能，它们获得了超越动态表示目标系统的功能。本文提出了一种代理数字孪生的分类，围绕三个基本维度：代理的场所（外部、内部、分布式）、耦合的紧密程度（松散、紧密、构成性）以及模型演变（静态、适应性、重构性）。从产生的27种配置空间中，我们识别出九种具有代表性的配置，分为三个集群："现存"（现有工具和新兴引导系统）、"临界点"（新兴属性出现和耦合成为构成性）以及"前沿"（系统获得重构能力）。我们的分析探讨了代理数字孪生如何行使表现力——不仅仅是代表物理系统，而是积极地参与构成它们。通过交通导航系统为例，我们展示了即使被动工具也能表现出涌现的表现力，而高级配置则可能面临表现力锁定的风险。基于表现预测理论，我们追溯了从被动工具到主动引导再到本体重构的进程，探讨了构成性耦合如何使系统能够创造自我验证的现实。理解这些配置对于从数字孪生作为镜像世界转变为数字孪生作为新本体的建筑师至关重要。
英文摘要：
As digital twins (DTs) evolve to become more agentic through the integration of artificial intelligence (AI), they acquire capabilities that extend beyond dynamic representation of their target systems. This paper presents a taxonomy of agentic DTs organised around three fundamental dimensions: the locus of agency (external, internal, distributed), the tightness of coupling (loose, tight, constitutive), and model evolution (static, adaptive, reconstructive). From the resulting 27-configuration space, we identify nine illustrative configurations grouped into three clusters: "The Present" (existing tools and emerging steering systems), "The Threshold" (where emergent properties appear and coupling becomes constitutive), and "The Frontier" (where systems gain reconstructive capabilities). Our analysis explores how agentic DTs exercise performative power--not merely representing physical systems but actively participating in constituting them. Using traffic navigation systems as examples, we show how even passive tools can exhibit emergent performativity, while advanced configurations risk performative lock-in. Drawing on performative prediction theory, we trace a progression from passive tools through active steering to ontological reconstruction, examining how constitutive coupling enables systems to create self-validating realities. Understanding these configurations is essential for navigating the transformation from DTs as mirror worlds to DTs as architects of new ontologies.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
