ALYMPICS: LLM Agents Meet Game Theory
ALYMPICS: LLM Agents Meet Game Theory
Shaoguang Mao,Yuzhe Cai,6 作者,Furu Wei
2025 · DBLP: conf/coling/MaoC0WWWG0W25
International Conference on Computational Linguistics · 引用 17 次
TLDR
This work proposes Alympics (Olympics for Agents), a systematic framework utilizing Large Language Model agents for empirical game theory research, and demonstrates the framework’s ability to qualitatively and quantitatively analyze game determinants, strategies, and outcomes.