Cluster Assignment in Multi-Agent Systems

Sharf, Miel, Zelazo, Daniel

arXiv.org Artificial Intelligence 

Abstract--We study cluster assignment in multi-agent networks. The process of reaching an agreement between agents is In this work we focus on homogeneous networks, that is one of the fundamental tasks for a multi-agent system (MAS). The problem we aim to solve is how to design graphs computation [1], robotics [2], biochemical systems [3], and that ensure the networked system will converge to a prescribed sensor networks [4]. A natural extension to the agreement cluster configuration, i.e., specifying the number of clusters problem is the cluster agreement problem, which seeks to and the number of agents within each cluster. Employing tools drive agents into groups. All the agents within the same group from group theory, we show that it is possible to design an should then reach an agreement.

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