【摘要】 多 Agent移动合作系统为分布式系统提供了灵活、高效的解决方案 ,但针对动态网络环境 ,当前的一些研究工作还存在局限性 .以多 Agent移动合作系统模型为基础 ,考虑到动态环境中 Agent知识的不确定性、影响力和Agent间可能客观存在的矛盾 ,提出了 Agent模糊知识表达与交换的思想、理论模型及算法 ,较好地考虑并解决了Agent的模糊信念合成及矛盾处理等关键问题 .通过仿真研究 ,将所提出的理论与模型应用于解决动态网络拓扑发现问题 ,结果证明了该模型是可行、高效的 .更多还原

【Abstract】 Multi-MA(mobile agents) cooperative systems lead to some flexible and efficient solutions to distributed systems. Some current research works are limited in the dynamic network environment. Based on the model of a Multi-MA cooperative system, the specific features of knowledge of agents in dynamic environment are taken into account, such as uncertainty, influence, and possible contradiction between agents. And in this paper, some notions, a theoretic model and an algorithm on fuzzy knowledge representation and exchange are proposed. The theory enables the key issues to be well solved, including fuzzy belief composition and contradiction coordination. With the help of some detail simulation experiments, what the authors proposed is applied to dynamic network topology discovery. As expected, the model is proved to be feasible and efficient.更多还原