让机器人通过身体感知形成稳定行为与视角，实现最小化主观体验建模。
Body-Grounded Perspective Formation and Conative Attunement in Artificial Agents
- 基于身体感知构建视角生成机制，融合内外感受信号
- 无奖励环境下实现由身体倾向驱动的稳定行为
- 适合对具身智能、意识模型感兴趣的学者
本文提出一种用于人工代理的最小化身体接地视角生成架构。在已有研究基础上，模型引入内感受生存信号、融合外感受-内感受状态的Fisher型度量，以及连接身体倾向与行动准备的趋动对齐机制。在一个无奖励网格世界中，趋动机制将学习到的身体倾向转化为稳定的身体指向行为；身体到视角的路由机制使身体扰动在视角潜在空间中留下可恢复的几何痕迹。本研究展示了如何通过具身组织方式，在现象学意义上实现人工主体性的最小结构性条件。
原文摘要 · Abstract (English)
This paper proposes a minimal architecture for body-grounded perspective formation in artificial agents. Extending prior work, the model introduces an interoceptive viability signal, a Fisher-style metric over fused exteroceptive-interoceptive states, and a conative alignment mechanism linking bodily tendency to action readiness. In a reward-free gridworld, conation converts learned bodily tendency into stable body-directed behavior, while body-to-perspective routing allows bodily perturbations to leave a recoverable geometric residue in the perspective latent. This study shows how minimal structural conditions for artificial subjectivity can be operationalized in the phenomenological sense, through the embodied organization of how a world is given to an agent.
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