Visualizing the Structure of Lenia Parameter Space
Fuente:
arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2026
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| Acceso en línea: | |
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| _version_ | 1866914233377095680 |
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| author | Hudcová, Barbora Dušek, František Tuccio, Marco Hongler, Clément |
| author_facet | Hudcová, Barbora Dušek, František Tuccio, Marco Hongler, Clément |
| contents | Continuous cellular automata are rocketing in popularity, yet developing a theoretical understanding of their behaviour remains a challenge. In the case of Lenia, a few fundamental open problems include determining what exactly constitutes a soliton, what is the overall structure of the parameter space, and where do the solitons occur in it. In this abstract, we present a new method to automatically classify Lenia systems into four qualitatively different dynamical classes. This allows us to detect moving solitons, and to provide an interactive visualization of Lenia's parameter space structure on our website https://lenia-explorer.vercel.app/. The results shed new light on the above-mentioned questions and lead to several observations: the existence of new soliton families for parameters where they were not believed to exist, or the universality of the phase space structure across various kernels. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_01932 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Visualizing the Structure of Lenia Parameter Space Hudcová, Barbora Dušek, František Tuccio, Marco Hongler, Clément Cellular Automata and Lattice Gases Artificial Intelligence Continuous cellular automata are rocketing in popularity, yet developing a theoretical understanding of their behaviour remains a challenge. In the case of Lenia, a few fundamental open problems include determining what exactly constitutes a soliton, what is the overall structure of the parameter space, and where do the solitons occur in it. In this abstract, we present a new method to automatically classify Lenia systems into four qualitatively different dynamical classes. This allows us to detect moving solitons, and to provide an interactive visualization of Lenia's parameter space structure on our website https://lenia-explorer.vercel.app/. The results shed new light on the above-mentioned questions and lead to several observations: the existence of new soliton families for parameters where they were not believed to exist, or the universality of the phase space structure across various kernels. |
| title | Visualizing the Structure of Lenia Parameter Space |
| topic | Cellular Automata and Lattice Gases Artificial Intelligence |
| url | https://arxiv.org/abs/2601.01932 |