Evolving the way of doing the right thing

An attractive question which still remains on Intelligent Systems reseach field is how can we build autonomous agents whose internal cognition process can be self-configured over time? Our paper proposes a self-organized model for decision making, which is a robust evolutionary extension of typical Behaviors Network model. Given an initial set of meaningless and unconnected units (behaviors), our system is able to evolutionarily build well-defined and robust behavior networks which are adapted and specialized to concrete internal agent´s needs and goals. As a result, several properties of self-organization and adaptability emerged when the proposed model was tested in a robotic environment, using a multi-agent platform.