论文标题
产生各种行为参与的游戏水平
Generating Game Levels of Diverse Behaviour Engagement
论文作者
论文摘要
近年来，人们对经验驱动的程序水平的生成越来越兴趣。已经制定了各种指标来建模玩家的经验并帮助产生个性化的水平。在这项工作中，我们质疑经验指标是否可以适应具有不同角色的代理商。我们首先审查现有的指标以评估游戏水平。然后，专注于平台游戏，我们设计了一个集成了各种代理和评估指标的框架。对\ emph {Super Mario Bros.}的实验研究表明，使用相同的评估指标，但具有不同角色的药物可以为特定角色产生水平。这意味着，对于简单的游戏而言，使用特定玩家原型的游戏代理作为水平测试仪，我们可能需要全部生成各种行为参与度的水平。
Recent years, there has been growing interests in experience-driven procedural level generation. Various metrics have been formulated to model player experience and help generate personalised levels. In this work, we question whether experience metrics can adapt to agents with different personas. We start by reviewing existing metrics for evaluating game levels. Then, focusing on platformer games, we design a framework integrating various agents and evaluation metrics. Experimental studies on \emph{Super Mario Bros.} indicate that using the same evaluation metrics but agents with different personas can generate levels for particular persona. It implies that, for simple games, using a game-playing agent of specific player archetype as a level tester is probably all we need to generate levels of diverse behaviour engagement.
