Evolutionary simulation of an agent based mobility system using indirect communication

We study the evolutionary dynamics of a mobility system in which agents are able to explore the environment and to communicate between them in order to increase the efficiency of the system, i.e. to minimize the average time needed to reach their goal, choosing the quickest path and avoiding the formation of traffic jams. The agents use an evolvable pheromone-like indirect communication system, of which we also give an interpretation as the average of different kinds of direct communication.