作为人工智能评价域的Dungeon Crawl Stone Soup
Dungeon Crawl Stone Soup as an Evaluation Domain for Artificial Intelligence
摘要：
Dungeon Crawl Stone Soup是一款流行的单人游戏，免费和开源的Rogue类视频游戏，具有足够复杂的决策空间，使其成为认知系统研究的理想测试平台，更广泛地说，人工智能。本文介绍了地下城爬行石头汤的属性，有利于评估人工智能系统的新方法。我们还强调了为AI研究人员构建API的持续努力，这些API体现了最近的游戏API，如MALMO，ELF和Starcraft II API。Dungeon Crawl Stone Soup的复杂性为评估AI和认知系统提供了重要的机会，包括人类用户研究。在本文中，我们提供了（1）地下城爬行石头汤的状态空间的描述，（2）我们的API组件的描述，以及（3）在地下城爬行石头汤视频游戏中评估人工智能智能体的潜在好处。
英文摘要：
Dungeon Crawl Stone Soup is a popular, single-player, free and open-source rogue-like video game with a sufficiently complex decision space that makes it an ideal testbed for research in cognitive systems and, more generally, artificial intelligence. This paper describes the properties of Dungeon Crawl Stone Soup that are conducive to evaluating new approaches of AI systems. We also highlight an ongoing effort to build an API for AI researchers in the spirit of recent game APIs such as MALMO, ELF, and the Starcraft II API. Dungeon Crawl Stone Soup's complexity offers significant opportunities for evaluating AI and cognitive systems, including human user studies. In this paper we provide (1) a description of the state space of Dungeon Crawl Stone Soup, (2) a description of the components for our API, and (3) the potential benefits of evaluating AI agents in the Dungeon Crawl Stone Soup video game.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
