討論了MAS環境下實現Agent交互協作的關鍵性問題。在分析Agent協同設計目標的基礎上，將遺傳算法應用于子任務的調度，提高了Agent協同工作的效率。應用Agent的通信語言建立了一個基于知識查詢與操縱語言的Agent通信模型，通過引入Agent位置追蹤和Agent消息緩存機制解決了Agent移動過程中遇到的位置追蹤和通信失效問題。
關 鍵 詞 多主體系統; 移動代理; 知識查詢與操縱語言; 通信模型; 協作

Abstract In MAS environment, some key techniques are needed to realize interaction and cooperation of mobile Agents. In this paper, genetic algorithm is introduced to assign Agent to a suitable node, improved the coordination efficiency of Agents. An Agent communication language—knowledge query and manipulation language is analyzed and an Agent communication model is established based on knowledge query and manipulation language. Also, an effective way to solve Agent location tracing and invalidated communicating during Agent roaming among network nodes is provided.
Key words multi agent system; mobile agent; knowledge query and manipulation language; communication model; cooperation