Agent based modeling of national economy - centralized mode analysis of virtual economy by GA simulation

In this paper we analyze national economy as a socioeconomic multi-agent system. For the purpose we investigate the centralized bird's eye view model of small national economy across the terms. We analyze the model by hybrid approach between machine agent model and human gaming simulation model. We investigate effective growth path by genetic algorithm in machine agent model. We can find effective growth path by GA under complex boundary conditions. The results shows balanced growth in tern pike property as a growth path. Nevertheless economic decision path is complex and quite different from growth path.