Evolutionary dynamics in large populations of decision-making autonomous agents have become a powerful model to study complex interactions in natural, social, economic and engineering systems. In this talk I focus on showing how evolutionary game theoretic models can be studied using systems and control theory. We look into how feedback actions can be incorporated and demonstrate that the closed-loop population dynamics may exhibit drastically different collective outcomes.
