GovSim: Emergence of Sustainable Cooperation in a Society of LLM Agents

Giorgio Piatti, Zhijing Jin, Max Kleiman-Weiner, Bernhard Schölkopf, Mrinmaya Sachan, Rada Mihalcea

Five LLM agents share a common-pool resource and must agree on limits to avoid collapse. A replication of Piatti et al. (NeurIPS 2024) across three scenarios.

paper source REPS package

game theory tragedy of the commons

Cite this paper

Credit the original research and its authors.

BibTeX

@inproceedings{NEURIPS2024_ca9567d8,
  author = {Piatti, Giorgio and Jin, Zhijing and Kleiman-Weiner, Max and Sch\"{o}lkopf, Bernhard and Sachan, Mrinmaya and Mihalcea, Rada},
  booktitle = {Advances in Neural Information Processing Systems},
  doi = {10.52202/079017-3548},
  editor = {A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang},
  pages = {111715--111759},
  publisher = {Curran Associates, Inc.},
  title = {Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents},
  url = {https://proceedings.neurips.cc/paper_files/paper/2024/file/ca9567d8ef6b2ea2da0d7eed57b933ee-Paper-Conference.pdf},
  volume = {37},
  year = {2024}
}

Cite these replications

Cite the replication data hosted here. If you use these replications, cite the original paper as well. The data is published under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).

BibTeX

@misc{raphaelfrancisltd-govsim-replication-dataset,
  author = {{Raphael Francis Ltd}},
  title = {govsim: replication dataset},
  howpublished = {Multi-Agent Databank},
  url = {https://databank.antimemetics.institute/papers/govsim/data},
  note = {Retrieved 2026-10-19}
}