Coordination in Multiagent-Based University Architecture

摘要

We present a token-based coordination approach in hierarchical composite multiagent architecture. There are many heterogeneous composite agents and two types of coordinator agents. A composite agent is composed of multiple individual agents. When any agent has a task or request or information, it creates a token and sends to Intelligent Coordinator agent (ICo)through Assistant Coordinator agent (ACo). Each composite agent has one ACo that is responsible for selecting correct individual agent, passing the token to addressed agent within the same composite agent and communicating with ICo. ICo provides efficient coordination between composite agents for information sharing and task allocation, etc. Coordinator agents use Matching Inference Engine (MIE) to route the tokens to correct receiver agents efficiently and directly. Token passing algorithms called coordinator algorithms for ICo and ACo have been developed in this paper. We described a multiagent-based university system as a proof of concept application. The proposed approach gives efficient coordination between automated entities in university with very little communication. We show the results comparing with simple point-to-point multiagent architecture.