討論了MAS環(huán)境下實(shí)現(xiàn)Agent交互協(xié)作的關(guān)鍵性問(wèn)題。在分析Agent協(xié)同設(shè)計(jì)目標(biāo)的基礎(chǔ)上，將遺傳算法應(yīng)用于子任務(wù)的調(diào)度，提高了Agent協(xié)同工作的效率。應(yīng)用Agent的通信語(yǔ)言建立了一個(gè)基于知識(shí)查詢(xún)與操縱語(yǔ)言的Agent通信模型，通過(guò)引入Agent位置追蹤和Agent消息緩存機(jī)制解決了Agent移動(dòng)過(guò)程中遇到的位置追蹤和通信失效問(wèn)題。
關(guān) 鍵 詞 多主體系統(tǒng); 移動(dòng)代理; 知識(shí)查詢(xún)與操縱語(yǔ)言; 通信模型; 協(xié)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