This paper presents a demonstration of our monster battle game, in which the game agents fight in accordance with their player's language commands. The commands were translated into the knowledge expression called behavior branches by a code-generation large language model. This work facilitated the design of the commanding system more easily, enabling the game agent to comprehend more various and continuous commands than rule-based methods. The results of the commanding and translation process were stored in a database on an Amazon Web Services server for more comprehensive validation. This implementation would provide a sufficient evaluation of this ongoing work, and give insights to the industry that they could use this to develop their interactive game agents.

翻译：本文演示了一款怪物对战游戏，其中游戏智能体根据玩家的语言指令进行战斗。这些指令通过代码生成大语言模型转化为名为“行为分支”的知识表达式。本工作使得指令系统的设计更加便捷，相比基于规则的方法，游戏智能体能理解更加多样化和连续性的指令。指令与翻译过程的结果存储在亚马逊云服务服务器的数据库中，以供更全面的验证。该实现为这一持续研究提供了充分评估，并向业界展示了可据此开发交互式游戏智能体的重要启示。