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| Autores principales: | , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2507.03839 |
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| _version_ | 1866915372272189440 |
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| author | Li, Shuowen Wang, Kexin Fang, Minglu Huang, Danqi Asadipour, Ali Mi, Haipeng Sun, Yitong |
| author_facet | Li, Shuowen Wang, Kexin Fang, Minglu Huang, Danqi Asadipour, Ali Mi, Haipeng Sun, Yitong |
| contents | We present a semantic feedback framework that enables natural language to guide the evolution of artificial life systems. Integrating a prompt-to-parameter encoder, a CMA-ES optimizer, and CLIP-based evaluation, the system allows user intent to modulate both visual outcomes and underlying behavioral rules. Implemented in an interactive ecosystem simulation, the framework supports prompt refinement, multi-agent interaction, and emergent rule synthesis. User studies show improved semantic alignment over manual tuning and demonstrate the system's potential as a platform for participatory generative design and open-ended evolution. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_03839 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Participatory Evolution of Artificial Life Systems via Semantic Feedback Li, Shuowen Wang, Kexin Fang, Minglu Huang, Danqi Asadipour, Ali Mi, Haipeng Sun, Yitong Artificial Intelligence Graphics We present a semantic feedback framework that enables natural language to guide the evolution of artificial life systems. Integrating a prompt-to-parameter encoder, a CMA-ES optimizer, and CLIP-based evaluation, the system allows user intent to modulate both visual outcomes and underlying behavioral rules. Implemented in an interactive ecosystem simulation, the framework supports prompt refinement, multi-agent interaction, and emergent rule synthesis. User studies show improved semantic alignment over manual tuning and demonstrate the system's potential as a platform for participatory generative design and open-ended evolution. |
| title | Participatory Evolution of Artificial Life Systems via Semantic Feedback |
| topic | Artificial Intelligence Graphics |
| url | https://arxiv.org/abs/2507.03839 |