Body-Grounded Perspective Formation and Conative Attunement in Artificial Agents

Fuente: arXiv
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Main Author: Pae, Hongju
Format: Preprint
Published: 2026
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author Pae, Hongju
author_facet Pae, Hongju
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2605_16728
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Body-Grounded Perspective Formation and Conative Attunement in Artificial Agents
Pae, Hongju
Artificial Intelligence
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.
title Body-Grounded Perspective Formation and Conative Attunement in Artificial Agents
topic Artificial Intelligence
url https://arxiv.org/abs/2605.16728