论文标题
Tropetwist：基于TROPE的叙事结构生成
TropeTwist: Trope-based Narrative Structure Generation
论文作者
论文摘要
游戏是复杂的，多面的系统，它们共享共同的要素和基本的叙述，例如英雄与大敌人之间的冲突或追求需要克服挑战的目标。但是，将这些元素一起识别和描述并非平凡，因为它们在某些属性上可能有所不同以及玩家如何遇到叙事。同样，在编码，解释和评估它们时，产生叙述也构成困难。为了解决这个问题，我们提出了Tropetwist，这是一种基于Trope的系统，可以在更抽象和通用的层面中描述游戏中的叙事结构，从而可以使用互连的比喻来定义游戏的叙事结构及其世代的定义，称为叙事图。为了演示系统，我们代表了三个不同游戏的叙事结构。我们使用MAP-ELITE来生成和评估编码为图语法的新型质量多样性叙事图，并使用这三种手工制作的叙事结构作为目标。手工制作和生成的叙事图都是根据它们的连贯性和兴趣来评估的，这些图可以通过进化来改善。
Games are complex, multi-faceted systems that share common elements and underlying narratives, such as the conflict between a hero and a big bad enemy or pursuing a goal that requires overcoming challenges. However, identifying and describing these elements together is non-trivial as they might differ in certain properties and how players might encounter the narratives. Likewise, generating narratives also pose difficulties when encoding, interpreting, and evaluating them. To address this, we present TropeTwist, a trope-based system that can describe narrative structures in games in a more abstract and generic level, allowing the definition of games' narrative structures and their generation using interconnected tropes, called narrative graphs. To demonstrate the system, we represent the narrative structure of three different games. We use MAP-Elites to generate and evaluate novel quality-diverse narrative graphs encoded as graph grammars, using these three hand-made narrative structures as targets. Both hand-made and generated narrative graphs are evaluated based on their coherence and interestingness, which are improved through evolution.
