Semantic Lenia: Emergence of Homeostatic Solitons within the Semantic Space of Large Language Models

Yoshihiko Kayama

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arXiv · 2608.11657

Semantic Lenia: Emergence of Homeostatic Solitons within the Semantic Space of Large Language Models

Yoshihiko Kayama

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Abstract

We introduce Semantic Lenia, an artificial life framework that transforms Large Language Model (LLM) inference from a static optimization problem into a continuous, closed-loop dynamical system. By establishing a non-linear homeostatic feedback loop to dynamically balance semantic attraction and syntactic repulsion, we demonstrate the emergence of ``Homeostatic Solitons''-metastable semantic structures that actively resist repetitive crystallization. Our exhaustive parameter sweeps map a critical ``Habitable Ridge'' where applied steering forces balance the model's intrinsic syntactic inertia. This approach successfully maintains generative trajectories in a numerically sensitive critical regime, triggering profound abductive leaps without structural collapse, and reveals a capacity-dependent scaling trend in the syntactic inertia across different model sizes.

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Yoshihiko Kayama. 2026-08-12. Semantic Lenia: Emergence of Homeostatic Solitons within the Semantic Space of Large Language Models. https://arxiv.org/abs/2608.11657

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