Modeling how agents simplify complexity so that they can predict and act is an important topic. There are a variety of techniques whereby apparent complexity can be condensed into useful approximations (indeed, the process of modeling itself is one such technique). Moreover, understanding how such simplifications themselves can influence the resultant complexity is also of interest.
