The Constructing of Multi-Agent Intelligent Control System for Behaviors Coevolution

To attain adaptive online learning capability of behaviors coordination and cooperation for the distributed intelligent control system which is situated in variational and open environment, the coevolution technique was introduced. It adopted the method of decomposing the complex distributed control system into basic behavior modules, and constructed them into the multi-agent system whose behaviors can coevolve. The distributed parallel coevolution learning mechanism and its algorithms were designed. It makes each basic behavior rule-base and global behavior coordination rule-base coevolve, consequently, the local control and global behavior coordination obtain adaptive online learning capability. The system is simple and flexible, and may be applied to embedded distributed control system operating at limited resource