A novel reliable routing algorithm in mobile ad hoc networks using fuzzy Pet ri net with it s reasoning mechanism was proposed to increase the reliability during the routing selection. The algorithm allows the structured representation of network topology, which has a fuzzy reasoning mechanism for finding the routing sprouting tree from the source node to the destination node in the mobile ad hoc environment. Finally, by comparing the degree of reliability in the routing sprouting tree, the most reliable route can be computed. The algorithm not only offers the local reliability between each neighboring node, but also provides global reliability for the whole selected route. The algorithm can be applied to most existing on2demand routing protocols, and the simulation result s show that the routing reliability is increased by more than 80% when applying the proposed algorithm to the ad hoc on demand distance vector routing protocol.

Understanding the relation between multiple agents is very important in developing a multi-agent system. Two concepts, multi agent system architecture and multi-agent system architecture prototype are brought forward, and the method of descrbing the relation between agents using the concepts is explored. The structure and components are designed. Based on the fact that cooperation between distributed agents is erratic, a controlled natural language communication function is designed and realized. Applying the offered interfaces, the user's workload consumed in agent communication and management is reduced, and at the same time, robustness of the multi agent system is improved.

为了能够真实反映多重耦合及描述耦合过程的动态演变，设计了协同任务类型。提出了减少瓶颈问题的消息主动汇报机制和任务两层调度策略，以及提高多智能体系统设计合法性、灵活性的体系结构原型和自然语言通信功能的思想及方法。实现了可视化的多智能体系统集成开发环境。应用结果表明，借助集成开发环境进行多智能体系统和并行程序开发减少了用户在通信和管理方面的设计工作量，可有效提高开发效率和系统的健壮性。