论文标题
生成法医：程序生成和信息游戏
Generative Forensics: Procedural Generation and Information Games
论文作者
论文摘要
程序生成在游戏设计中使用以实现各种各样的目的，并通过将差异，惊喜或不可预测性注入其他静态设计来创建多个游戏子类别。信息游戏是一种神秘游戏，其中玩家的任务是收集知识并发展对事件或系统的理解。他们对玩家知识的依赖使他们很容易受到破坏者的影响，并且很难重播。在本文中，我们介绍了生成法医游戏的概念，这是一个挑战玩家了解生成系统输出的信息游戏的子流派。我们介绍信息游戏，展示生成法敏如何发展这个想法，报告我们创建的两个原型游戏，并评估我们在远离玩家和设计师的观点的生成法医学上的工作。
Procedural generation is used across game design to achieve a wide variety of ends, and has led to the creation of several game subgenres by injecting variance, surprise or unpredictability into otherwise static designs. Information games are a type of mystery game in which the player is tasked with gathering knowledge and developing an understanding of an event or system. Their reliance on player knowledge leaves them vulnerable to spoilers and hard to replay. In this paper we introduce the notion of generative forensics games, a subgenre of information games that challenge the player to understand the output of a generative system. We introduce information games, show how generative forensics develops the idea, report on two prototype games we created, and evaluate our work on generative forensics so far from a player and a designer perspective.
