SimpleConfigsGen

This class is a child of ConfigsGenAlg. It contains the procedure for the formation of group organizations which optimizes the state of the players. The optimization is naively performed per-iteration and minimal data is stored among iterations. This entails slower and lower convergence, but is a simple way to assure adaptation to dynamic environments. Described as an adequate initial approach to explore. Details can be found in the scientific paper where the model was defined.

Two versions of this algorithm were developed: one of them (SimpleConfigsGenVer1) estimates the preferences of players and then averages them when building group profiles, and the other one (SimpleConfigsGenVer2) tries to determine several InteractionProfiles for each configuration and selects the best.