Variants of Self Organizing Maps in Social Systems Simulation

This paper explores the use of variants of Self Organizing Maps to simulate agents interaction in social systems. Our efforts were mainly concentrated to model agents learning and psychological relationships, as well as the way those latter can affect the system general behavior. As main result, we developed a suitable environment to simulate economic systems dynamics, totally based on models inspired on the approach of self-organization in cortical brain models