📄 中文摘要
Ryan Miller是一名拥有二十多年经验的软件工程师，专注于前端开发，同时也是一名幻想迷。他在桌面角色扮演游戏中使用大型语言模型（LLMs）构建AI工具，想要挑战更复杂的系统，进行实时决策。他提出了一个构想：构建一个能够玩《矮人要塞》的人工智能。《矮人要塞》是一款自2006年以来持续开发的殖民地模拟游戏，玩家需要管理一群矮人，在程序生成的幻想世界中建立要塞。该游戏模拟了地质、水文和个体矮人的行为，具有高度复杂性和实时性，为AI的决策能力提供了丰富的挑战。
教人工智能玩矮人要塞：构想
出处: Teaching an AI to Play Dwarf Fortress: The Idea
发布: 2026年3月14日
📄 English Summary
Teaching an AI to Play Dwarf Fortress: The Idea
Ryan Miller, a software engineer with over twenty years of experience primarily in front-end web applications, is also a fantasy enthusiast. He has previously utilized large language models (LLMs) to create AI-powered tools for his tabletop hobby and seeks to tackle a more complex challenge involving real-time decision-making. He proposes the idea of building an AI that can play Dwarf Fortress, a colony simulation game that has been in continuous development since 2006. In Dwarf Fortress, players manage a group of dwarves attempting to construct a fortress in a procedurally generated fantasy world. The game simulates various aspects such as geology, hydrology, and the behavior of individual dwarves, presenting a rich and complex environment for AI decision-making.