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智能板:使用LLM Agent对团队战术进行视觉探索

Ziao Liu, Xiao Xie, Moqi He

IEEE transactions on visualization and computer graphics

|September 10, 2024

概括

本研究介绍了Smartboard,这是一个用于分析篮球战术的交互式系统. 它使用可视化和大型语言模型 (LLM) 来帮助用户理解和定制团队策略,以更好地设计游戏.

科学领域:

运动分析运动分析
人与计算机的交互
人工智能的人工智能

背景情况:

团队体育战术对于玩家互动和游戏分析至关重要.
目前用于可视化体育战术的方法需要复杂的推理来将行动与结果联系起来.
需要直观的工具来理解和定制战术游戏.

研究的目的:

开发一种渐进的方法,以更深入地理解和根据需求定制体育战术.
创建一个可扩展的框架,整合大型语言模型 (LLM) 和用于战术分析的可视化.
设计一个交互式系统,Smartboard,用于细粒度的战术分析和篮球比赛设计.

主要方法:

与篮球专家合作开发.
在战术板上进行渐进式草图,以代理驱动的模拟.
整合LLM和可视化用于多式联通用户-代理通信.
开发基于代理的交互式可视化系统 (智能板).

主要成果:

智能板允许用户通过逐步模拟逐步了解战术机制.
该系统可根据用户定义的场景来定制战术.
面向可视化为模拟战术行动提供了清晰的洞察力.
使用真实世界篮球数据的案例研究表明了该系统的有效性.

结论:

智能板为代战术探索提供了一个结构化的过程 (设置,模拟,演变).
整合LLM和可视化增强了用户交互和复杂战术的理解.
该系统被证明是有效和有用的细粒度战术分析和篮球比赛设计.

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