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Bibliographic Details
Main Author: Pae, Hongju
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2602.02902
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author Pae, Hongju
author_facet Pae, Hongju
contents This study operationalizes subjective perspective in artificial agents by grounding it in a minimal, phenomenologically motivated internal structure. The perspective is implemented as a slowly evolving global latent state that modulates fast policy dynamics without being directly optimized for behavioral consequences. In a reward-free environment with regime shifts, this latent structure exhibits direction-dependent hysteresis, while policy-level behavior remains comparatively reactive. I argue that such hysteresis constitutes a measurable signature of perspective-like subjectivity in machine systems.
format Preprint
id arxiv_https___arxiv_org_abs_2602_02902
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Minimal Computational Preconditions for Subjective Perspective in Artificial Agents
Pae, Hongju
Artificial Intelligence
This study operationalizes subjective perspective in artificial agents by grounding it in a minimal, phenomenologically motivated internal structure. The perspective is implemented as a slowly evolving global latent state that modulates fast policy dynamics without being directly optimized for behavioral consequences. In a reward-free environment with regime shifts, this latent structure exhibits direction-dependent hysteresis, while policy-level behavior remains comparatively reactive. I argue that such hysteresis constitutes a measurable signature of perspective-like subjectivity in machine systems.
title Minimal Computational Preconditions for Subjective Perspective in Artificial Agents
topic Artificial Intelligence
url https://arxiv.org/abs/2602.02902