Socialized Multi-Agent System Rendezvous via Networks of Networks

Abstract

Networks of networks paradigm was introduced to explore the rendezvous problems of leader-follower multi-agent system, where the rendezvous actors were categorized into the target object, the leader agents, the informed follower agents and the isolated follower agents, respectively. Then, three humanized system inspired strategies were investigated. Results demonstrated that, the democracy strategy could fulfill the rendezvous task in expenses with a long convergent time and the autarchy democracy could come to the targeted object quickly with the risk of failing in rendezvous, while the mixed strategy cared about both of the convergent speed and the utmost task, would take autarchy strategy when the connections were available for the follower agents, while the democracy rules had to be used if the connections were not possible.