Demo Paper: A Game Agents Battle Driven by Free-Form Text Commands Using Code-Generation LLM and Behavior Branch

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.