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BattleAgent: Multi-modal Dynamic Emulation on Historical Battles to Complement Historical Analysis
April 25, 2024, 5:44 p.m. | Shuhang Lin, Wenyue Hua, Lingyao Li, Che-Jui Chang, Lizhou Fan, Jianchao Ji, Hang Hua, Mingyu Jin, Jiebo Luo, Yongfeng Zhang
cs.CL updates on arXiv.org arxiv.org
Abstract: This paper presents BattleAgent, an emulation system that combines the Large Vision-Language Model and Multi-agent System. This novel system aims to simulate complex dynamic interactions among multiple agents, as well as between agents and their environments, over a period of time. It emulates both the decision-making processes of leaders and the viewpoints of ordinary participants, such as soldiers. The emulation showcases the current capabilities of agents, featuring fine-grained multi-modal interactions between agents and landscapes. It …
abstract agent agents analysis arxiv cs.ai cs.cl cs.cv cs.hc cs.ma dynamic environments interactions language language model modal multi-agent multi-modal multiple novel paper type vision vision-language
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