A priority-based message scheduling scheme for multi-agent system dynamically, adapting to the environment change

Multi-agent system consists of a number of cooperative agents which have agreed to work together for a common goal. When scheduling the messages in an agent system, if the same priority is assigned to all the agents without considering the importance of their role, the performance may not be maximized. In this paper we propose a new priority-based message scheduling scheme. It enables the agent system to quickly adapt to the environment change by properly modeling the priority of the messages based on the importance of the agents and message throughput. The performance of an agent system is shown to be greatly improved by the proposed scheme using a case study of crime prevention system which was implemented with the agent platform developed by the authors.