Learning, Feedback and Information in Self-Organizing Communication Systems

Communication systems reliably self-organize in populations of interacting agents under certain conditions. The various fields which model this – game theory, cognitive science and evolutionary linguistics – make different assumptions about the learning and behavioral processes which are responsible. We created an exemplar-based framework to directly compare these approaches by reproducing previously published models. Results show that a number of mechanisms are shared by the systems which can construct optimal communication. Three general factors are then proposed to underlie any selforganizing learned system.