根据多智能体Agent的自治、协作和分布特性，并基于智能体的思维状态BDI模型，设计了Internet/Intranet支持的多智能体框架MAFS，其中包括MAFS中智能Agent的组成结构、Agent间的协作和通信、智能Agnet的知识表达和Agent计算等；同时提出了绘画式图象分割的策略和网络环境下图象识别的分布式处理思想，并在MAFS上建立了问题求解模型，还进行了桥梁目标识别。实验结果表明，基于多智能体杠架MAFS的目标识别具有高速、有效等优点，且对环境要求不高，并且易实现，从而实现了高速网络体系下的分布式目标处理。

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.