| Huge Information is generated continuously during the process of production and management among the enterprises. Usually, this kind of information is heterogeneous and coming from multi sources, so, it is more complex for fusing the information and handling negotiation between different agents. At the present time, the theories and methods of agent have been widely developed during the scientific researches, and have also been applied into several areas, such as internet, production control, financial services, business management, and so on. Now, the theories and methods of agent have gradually formed their own research system, which is built on the basis of the single agent, multi agent systems, and agent oriented programming. However, how to analyze and fuse multi sources information effectively and negotiate with other agents in the system reasonably is still problem to sovle. Therefore, the research on the information fusion and negotiation of multi agents are more useful to strengthen the agent ability of adapting to the complex environment, which are not only significant for the theory, but also for the application.This dissertation mainly focuses on the research of multi agent information fusion and negotiation, and its application on fault diagnosis, according to the conflicts of the information and the uncertainty of negotiation process. The dissertation has extended the classical theory and method of multi agent information fusion and negotiation; it has also impoved the ability for application. The details are as follows:(1) According to the dynamic and uncertainty environment, the dissertation analyzes the problems of combination paredox, "veto by one vote", and robustness during the process of information fusion from the focal element view. The concepts of focal element distance and similarity of focal element are proposed on the basis of the classical evidence combination rule. The dissertation suggests a new evidence combination rule base on the similarity of focal element. The new rule divides the combination process into two parts, the process of relevance evidence combination and the process of conflict evidence combination, during which the evidences are allocated according to the different similarity. Four contrast experiments are done to test the performance among different rules under different situations.(2) The dissertation proposes the negotiation protocol for multi agent based on the joint intentions according to the characteristic of multi agent negotiation process, and it also analyzes the different roles during the negotiation process. According to the comparing of sequential and concurrent negotiation, the dissertation also builds the set of negotiation state and negotiation action, and suggests using CAM to manage multiple negotiation processes. The framework for multi agent concurrent negotiation based on CAM is proposed and analyzed by the given example. The different termination schemes are discussed in the negotiation experiments to analyze the influences on the multi agent negotiation process, number of decisions during the negotiation and successful rates of the negotiation.(3) The modeling requirements of multi agent system are discussed by the agent oriented modeling methods, and the agent roles in the system are also divided. The dissertation builds the framework of multi agent system based on the function models and formulation models of the agent roles. Q-Learning method is also introduced into the single agent modle to enhance its ability of learning. Agent can not only obtain the information of the envinroment but also regonize its inside state. All the information is used for choosing action under current circumstances. This kind of agent has a good flexibility and learning efficiency, and can adapt to the dynamic environment.(4) The dissertation investigates the application of multi agent information fusion and negotiation in the fields of fault diagnosis. On the basis of the complexity and distributivity of the object systems, and the focal element oriented combination rule is set as the information algrithrim in the intelligent fault diagnosis systems, which solved the conflicts among the process of fusing multi agent information. The intelligent fault diagnosis decision rules are also suggested correspondingly. Then, the architecture of the intelligent fault diagnosis system is built based on the analysis of the roles and functions in the system using agent oriented modeling methods. The dissertation also implements a prototype system after designing the structures and interfaces of different agents using Visual C++. |
