代理性取决于框架。

摘要

代理性是系统引导结果朝向目标的能力，是生物学、哲学、认知科学和人工智能研究的中心课题。确定系统是否表现出代理性是一个极具挑战性的问题：例如，Dennett（1989）强调了决定岩石、恒温器或机器人是否具有代理性的难题。我们从强化学习的视角探讨这一难题，认为代理性从根本上是依赖于参考框架的：对系统代理性的任何测量必须相对于一个参考框架进行。我们通过提出一个哲学论证来支持这一观点，即Barandiaran等人（2009）和Moreno（2018）提出的代理性基本属性本身是依赖于参考框架的。我们得出结论，任何关于代理性的基础科学都需要考虑参考框架的影响，并讨论了这一观点对强化学习的影响。

English

Agency is a system's capacity to steer outcomes toward a goal, and is a central topic of study across biology, philosophy, cognitive science, and artificial intelligence. Determining if a system exhibits agency is a notoriously difficult question: Dennett (1989), for instance, highlights the puzzle of determining which principles can decide whether a rock, a thermostat, or a robot each possess agency. We here address this puzzle from the viewpoint of reinforcement learning by arguing that agency is fundamentally frame-dependent: Any measurement of a system's agency must be made relative to a reference frame. We support this claim by presenting a philosophical argument that each of the essential properties of agency proposed by Barandiaran et al. (2009) and Moreno (2018) are themselves frame-dependent. We conclude that any basic science of agency requires frame-dependence, and discuss the implications of this claim for reinforcement learning.

代理性取决于框架。

Agency Is Frame-Dependent

摘要

Summary

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