Participatory Evolution of Artificial Life Systems via Semantic Feedback

Shuowen Li, Kexin Wang, Minglu Fang, Danqi Huang, Ali Asadipour +2 more
7/4/2025
cs.AIcs.GR

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Abstract

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.

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Cite this paper

@article{li2025participatory,
  title  = {Participatory Evolution of Artificial Life Systems via Semantic Feedback},
  author = {Shuowen Li and Kexin Wang and Minglu Fang and Danqi Huang and Ali Asadipour and Haipeng Mi and Yitong Sun},
  year   = {2025},
  eprint = {2507.03839},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2507.03839v1}
}

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