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 develops customizable agent structures to meet specific situational requirements, for example, a variety of battle-related activities like scouting and trench digging. These components collaborate to recreate historical events in a lively and comprehensive manner while offering insights into the thoughts and feelings of individuals from diverse viewpoints. The technological foundations of BattleAgent establish detailed and immersive settings for historical battles, enabling individual agents to partake in, observe, and dynamically respond to evolving battle scenarios. This methodology holds the potential to substantially deepen our understanding of historical events, particularly through individual accounts. Such initiatives can also aid historical research, as conventional historical narratives often lack documentation and prioritize the perspectives of decision-makers, thereby overlooking the experiences of ordinary individuals. BattelAgent illustrates AI's potential to revitalize the human aspect in crucial social events, thereby fostering a more nuanced collective understanding and driving the progressive development of human society.

翻译：本文提出BattleAgent，一个结合大型视觉语言模型与多智能体系统的仿真系统。该创新性系统旨在模拟多个智能体之间以及智能体与环境之间在一段时间内的复杂动态交互，同时再现决策者的决策过程与普通参与者（如士兵）的视角。仿真展示了智能体的当前能力，包含智能体与景观之间的细粒度多模态交互。系统开发了可定制化智能体结构以适应特定场景需求，例如侦查、战壕挖掘等多样化战斗相关活动。这些组件协同作用，以生动全面的方式重构历史事件，同时从多元视角洞察个体的思想与情感。BattleAgent的技术基础为历史战役构建了精细且沉浸式的场景，使个体智能体能够参与、观察并动态响应不断演变的战场局势。该方法有望通过个体叙事显著加深我们对历史事件的理解，尤其有助于弥补传统历史记载中决策者视角优先而忽视普通人经历的缺陷。BattleAgent展示了人工智能在重大社会事件中重塑人性化维度的潜力，从而促进更具深度的集体认知，推动人类社会的渐进式发展。