TropeTwist：基于比喻的叙事结构生成
TropeTwist: Trope-based Narrative Structure Generation
摘要：
游戏是一个复杂的、多方面的系统，有着共同的元素和潜在的故事，比如英雄和一个大坏蛋之间的冲突，或者追求一个需要克服挑战的目标。然而，一起识别和描述这些元素并不简单，因为它们可能在某些属性以及玩家如何遇到叙述方面有所不同。同样，生成叙事在编码、解释和评估它们时也会带来困难。为了解决这个问题，我们提出了TropeTwist，这是一个基于tropeTwist的系统，可以在更抽象和通用的层面上描述游戏中的叙事结构，允许使用相互关联的tropes（称为叙事图）定义游戏的叙事结构及其生成。为了展示这个系统，我们展示了三个不同游戏的叙事结构。我们使用MAP-Elites生成和评估新颖的质量多样的叙事图编码为图形语法，使用这三个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趣味性进行评估的，这些都是通过进化来改进的。
英文摘要：
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.
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。
