用函数调用让AI游戏主持更懂规则，提升剧情连贯性。
You Have Thirteen Hours in Which to Solve the Labyrinth: Enhancing AI Game Masters with Function Calling
- 通过函数调用实现游戏规则控制，精准管理游戏状态。
- 人类评估显示叙事质量提升，状态一致性显著改善。
- 适合对互动叙事和游戏AI感兴趣的开发者与研究者。
开发一致可靠的文本游戏AI游戏主持是一项挑战，源于大语言模型（LLMs）的局限性和游戏主持角色的复杂性。本文提出一种新方法，利用函数调用增强桌游《吉姆·亨森的迷宫：冒险游戏》中的AI游戏主持。通过集成游戏特有控制函数，我们证明该方法提升了AI主持的叙事质量和状态更新一致性。实验结果基于人工评估与单元测试，验证了该方法在改善游戏体验和保持游戏状态连贯性方面的有效性。本工作推动了游戏AI与交互叙事的发展，为设计更吸引人且一致的AI驱动游戏主持提供了洞见。
原文摘要 · Abstract (English)
Developing a consistent and reliable AI game master for text-based games is a challenging task due to the limitations of large language models (LLMs) and the complexity of the game master's role. This paper presents a novel approach to enhance AI game masters by leveraging function calling in the context of the table-top role-playing game "Jim Henson's Labyrinth: The Adventure Game." Our methodology involves integrating game-specific controls through functions, which we show improves the narrative quality and state update consistency of the AI game master. The experimental results, based on human evaluations and unit tests, demonstrate the effectiveness of our approach in enhancing gameplay experience and maintaining coherence with the game state. This work contributes to the advancement of game AI and interactive storytelling, offering insights into the design of more engaging and consistent AI-driven game masters.
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