by tsinghua-fib-lab · AI Tool · ★ 256
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Large language model (LLM) agent-based modeling and simulation A summary of works on LLM empowered agent-based modeling and simulation. Our survey Large language models empowered agent-based modeling and simulation: a survey and perspectives is published in Humanities and Social Sciences Communications. Please refer to the paper: link Please cite our survey paper if you find our work helpful. Table of Contents Challenges and approaches of LLM for ABS Environment Construction and Interface Human Alignment and Personalization How to simulate actions Evaluation of LLM agents Recent advances of LLM for ABS Social Domain I: Social Sciences Social Network Dynamics [Cooperation](
| Stars | 256 |
| Forks | 33 |
| Category | AI Tool |
| License | MIT |
| Quality Score | 42.5209968295801/100 |
| Open Issues | 3 |
| Last Updated | 2025-07-15 |
| Created | 2024-07-30 |
| Est. Tokens | ~8k |
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LLM-Agent-Based-Modeling-and-Simulation is an open-source ai tool by tsinghua-fib-lab with 256 GitHub stars.
You can find installation instructions and usage details in the LLM-Agent-Based-Modeling-and-Simulation GitHub repository at github.com/tsinghua-fib-lab/LLM-Agent-Based-Modeling-and-Simulation. The project has 256 stars and 33 forks, indicating an active community.
LLM-Agent-Based-Modeling-and-Simulation is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to LLM-Agent-Based-Modeling-and-Simulation on Agent Skills Hub include MedgeClaw, shaping-skills, pivotnacci. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.