Organizational Behavior Management System Based on Multi-Agent Algorithm

Self-organizing multi-agent system theory can be easily used to solve some complex problems that are still difficult to solve by combining the advantages and characteristics of self-organizing theory and multi-agent system theory. The purpose of this paper is based on Multi-Agent Algorithm Research Organizational Behavior Management System. Aiming at the problem that the existing multi-Agent-based organizational behavior management system has less application and implementation platforms, an organizational behavior management system based on multi-Agent algorithm is planned and implemented. The system configuration is centered on the multi-agent interaction subsystem and the vehicle behavior management subsystem, and the vehicle behavior management service is performed through the environment recognition input control system. The two organizational behavior management programs, AOM and OMACS, were tested. The results showed that when the number of Agents was 8, the average task completion quality AQ of the AOM organizational program was 106. The system has good efficiency and strong adaptability to complex real-time control environment.