The Role of Network Structure in the Performance of Holonic Multi-agent Systems

Interaction networks are essential parts of every multi-agent systems. Being explicitly defined or implicitly present in a system, these structures define and limit the ways the agents should interact with their peers, and hence helps managing the coordination problems in large-scaled systems. It is widely accepted that the structure of an interaction network plays a significant role in the performance of the systems. In this article, we use the interaction network of the initial agent population to construct a holonic multi-agent system. Being based on agent interaction networks, the performance of the resulting holonic multi-agent system highly depends on the structure of the underlying agent network. Here, we study this dependency in more details. The study is carried out by applying the holonification algorithm on various network topologies and assessing the constructed holonic structure in a task environment.