Semantic Lenia: Emergence of Homeostatic Solitons within the Semantic Space of Large Language Models
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Computer Science > Computation and Language
Title:Semantic Lenia: Emergence of Homeostatic Solitons within the Semantic Space of Large Language Models
Abstract:We introduce Semantic Lenia, an artificial life framework that transforms Large Language Model (LLM) inference from a static optimization problem into a continuous dynamical system within the macroscopic logit space. By establishing a non-linear homeostatic feedback loop to dynamically balance semantic attraction and syntactic repulsion, we demonstrate the emergence of "Autonomous Semantic Solitons" -- macroscopic dissipative structures that avoid repetitive crystallization. Our exhaustive parameter sweeps map a critical "Habitable Ridge" where applied steering forces perfectly balance the model's intrinsic syntactic inertia. This approach successfully maintains generative trajectories at the edge of chaos, triggering profound abductive leaps without structural collapse and establishing a physical scaling law for machine cognition.
| Comments: | 17 pages, 5 figures. Code, datasets, and interactive phase diagrams are available at this https URL |
| Subjects: | Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Cellular Automata and Lattice Gases (nlin.CG) |
| Cite as: | arXiv:2608.11657 [cs.CL] |
| (or arXiv:2608.11657v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2608.11657
arXiv-issued DOI via DataCite (pending registration)
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Submission history
From: Yoshihiko Kayama [view email][v1] Wed, 12 Aug 2026 04:56:19 UTC (2,821 KB)
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