The Research of Object Recognition Based on Multi-Agent Frame System MAFS
基于多智能体框架MAFS的目标识别技术

Since the agent is autonomous, cooperative and distributed, and it is based on the BDI model of the agent, we present a multi-agent frame system(MAFS) based on Internet/Intranet for the distributed processing of the object recognition. The content includes the architecture of each intelligent agent and cooperative agent, the knowledge language for MAFS, the cooperation and communication between agents, the knowledge expression and the agent calcultion. In the same while, put forward a method of image drawing segmentation for bridge object recognition and the distributed processing thought of image recognition under the network environment. We also present the model of problem solving for bridge recognition on MAFS, revise the model according to the believable degree, and realize the bridge object recognition finally. The result shows that the method of the distributed object recognition based on MAFS is efficient and useful, and it can be easily used and realized in many other distributed processing fields, thus we can achieve the distributed object processing in the high-speed network system.