  Recommender systems research is concerned with many aspects of recommender
system behavior and effects than simply its effectiveness, and simulation can
be a powerful tool for uncovering these effects. In this brief position paper,
I identify specific types of research that simulation is uniquely well-suited
to address along with a hierarchy of simulation types.
