范畴论的AI现象学：一种第一人称进路
Categorical AI phenomenology: A first-person approach
- Institute of Humanities, ShanghaiTech University（上海科技大学人文学院）
- Association for Mathematical Consciousness Science（数学意识科学协会）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本文提出一种以现象学为核心的人工意识研究进路，通过范畴论建模第一人称结构，将Q-networks视为智能体-世界交互的关系性接口，为接口意识提供严谨框架，契合4E认知方法。
AI中文摘要：
本文开发了一种以现象学为核心的人工意识研究进路，将意识重新定义为智能体通过与世界交互所产生的主观体验。我们将方法论重心转向第一人称结构，该结构通过从Q-networks中推导的范畴进行数学建模，以捕捉行动与现象学不变量。在此框架中，Q-networks被概念化为编码智能体-世界交互的关系性接口，类似于计算机的动态状态依赖于其感官输入、先前状态和行动的方式。本研究为接口意识提供了一个严谨框架，用以描述将信息处理嵌入现象学结构的计算系统，该进路与4E认知方法一致，强调体验的生成性、具身性与延伸性维度，因此为基于范畴论的人工现象学提供了一种有原则的、关系性的现象学解释。
英文摘要：
This paper develops a phenomenology-first approach to artificial consciousness by reframing consciousness as the subjective experience enacted through an agent's interface with the world. We shift the methodological focus to first-person structures, modeled mathematically by categories derived from Q-networks to capture actions and phenomenological invariants. In this framework, Q-networks are conceptualized as relational interfaces encoding agent-world interaction, analogous to how the dynamical states of a computer depend on its sensory inputs, previous states, and actions. Our work provides a rigorous framework for interface consciousness to describe computational systems that embed information-processing into phenomenological structure. The approach aligns with 4E approaches to cognition by emphasizing enactive, embedded, and extended dimensions of experience. The paper thus offers a principled, relational, and phenomenological account of artificial phenomenology grounded in categorical mathematics.
