Game Mechanic Alignment Theory and Discovery
  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.
