论文标题
概念游戏扩展
Conceptual Game Expansion
论文作者
论文摘要
自动化游戏设计是通过计算过程自动生产游戏的问题。传统上，这些方法依赖于设计师的搜索空间的创作，从而定义了系统作者的所有可能游戏的空间。在本文中，我们从游戏视频中学习了现有游戏的表示形式，并使用它们来近似新颖游戏的搜索空间。在一项人类主题研究中，我们证明，在挑战方面，这些新颖游戏与人类游戏没有区别，而新颖的游戏在娱乐，沮丧和可爱的方面等同于人类游戏之一。
Automated game design is the problem of automatically producing games through computational processes. Traditionally, these methods have relied on the authoring of search spaces by a designer, defining the space of all possible games for the system to author. In this paper, we instead learn representations of existing games from gameplay video and use these to approximate a search space of novel games. In a human subject study we demonstrate that these novel games are indistinguishable from human games in terms of challenge, and that one of the novel games was equivalent to one of the human games in terms of fun, frustration, and likeability.
