Research on Multi-Agent Competition Based on Large Language Models
Large Language Models (LLMs), with their advanced capabilities in semantic understanding, dynamic strategy generation, and complex behavior simulation, represent a transformative tool for studying multi-agent interactions. Their exceptional performanc
Authors
- Xiangliang Zhang (ORCID: https://orcid.org/0000-0002-3574-5665)
- Jibin Yin (ORCID: https://orcid.org/0000-0003-1278-671X)
- Jiang Mulin
- Hong Qiuhong
Institutions
- Kunming University of Science and Technology (CN)
- Zhejiang University (CN)
Publication Details
- Published
- 2025-10-12
- DOI
- https://doi.org/10.22541/au.176025089.91562731/v1
- Primary Topic
- Natural Language Processing Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China