We present a new concept called Game Mechanic Alignment theory as a way to organize game mechanics through the lens of systemic rewards and agential motivations. By disentangling player and systemic influences, mechanics may be better identified for use in an automated tutorial generation system, which could tailor tutorials for a particular playstyle or player. Within, we apply this theory to several well-known games to demonstrate how designers can benefit from it, we describe a methodology for how to estimate "mechanic alignment", and we apply this methodology on multiple games in the GVGAI framework. We discuss how effectively this estimation captures agential motivations and systemic rewards and how our theory could be used as an alternative way to find mechanics for tutorial generation.

翻译：我们提出了一个名为“游戏机械协调理论”的新概念,作为通过系统性奖赏和代理动机透镜来组织游戏机械学的一种方法。 通过脱钩玩家和系统性影响,可以更好地确定机械学在自动辅导生成系统中使用,该系统可以为特定的游戏风格或玩家量身定制辅导。 在其中,我们将这一理论应用于几个众所周知的游戏,以展示设计师如何从中得益,我们描述了如何估算“机械协调”的方法,我们在GVGAI框架中将这一方法应用于多个游戏。我们讨论了这一估算如何有效地捕捉到代理动机和系统性奖赏,以及如何将我们的理论用作寻找代教义的机械的替代方法。