Evolving the way of doing the right thing
Oscar J. Romero, Angélica de Antonio · 2012
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.