Multi-agent System Combination Model Based On Dynamic Fuzzy Relation And Design Of Test System

Multi-Agent Collaboration is one of the effective methods to resolve the complex problems. The crucial point is how to combine the Agents. By studying the relation of Agents, we use Dynamic Fuzzy Relation(DFR) to develop Multi-Agent System Combination Model. Our main work includes three aspects as follows:1. Through analyzing actual statement of Agent organization and joint mental state, the author builds the Model of Multi-Agent System Combination Based on DFR.2. To study the stability of the Multi-Agent System Combination Model, some relative results are given.3. A test system is designed to prove the validity of the Multi-Agent System Combination Model.Through the work above, we give the description on Multi-Agent System Combination Model. Series of basic results also are given. It is to provide some technical supports for Agent cooperation. However, for complexity of Multi-Agent System, all these works are tentative and many of them need advanced research.