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arXiv · 2602.02902

Minimal Computational Preconditions for Subjective Perspective in Artificial Agents

Hongju Pae
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Abstract

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.

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Hongju Pae. 2026-02-02. Minimal Computational Preconditions for Subjective Perspective in Artificial Agents. https://doi.org/10.1609/aaaiss.v8i1.42559

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