Research On Intelligent Management Information System Based On Multi-Agent System--Theory And Applications

IMIS (Intelligent Management Information System) is an advanced computer management system of high coordination, intelligibility, and information integration by means of artificial intelligence. It develops from management information system (MIS) and becomes an important research field of system engineering and" artificial intelligence. With Agent bearing fruits in network management, intelligent robot, distributed intelligent controlling, information indexing and service, the application research of Multi-Agent System (MAS) has accordingly become a more and more important research orientation. This work is supported by National Nature Science foundation of P. R. C with the project entitled "Multi-intelligent-based enterprise information integration theory and application research" (No. 79970035). The main contribution of this work is that Agent is introduced into IMIS, and based on the Multi-Agent, the theory and application of Multi-Agent-based IMIS are studied, the IMIS model is proposed and its implementation strategy is further discussed. The writer designs and implements information management system, information query system, decision supporting system and data mining system of IMIS by means of orient-Agent software engineering. This dissertation is devoted to theoretical and practical study of IMISbased on MAS. The main content is listed as follows:1. The concept of IMIS is firstly introduced. The historical development of Agent and MAS is reviewed from theory and practice, and the prospect as well.2. This paper proposes Agent-based IMIS after a careful study of IMIS, designs system architecture, and the innate structure and conceptualization of Agent, discusses in detail the implementation procedure and methodology. Based on previous research related with Agent, this paper suggests Agent-based IMIS coordination method, complex problem solving strategy and Agent' s communication mechanism.3. This paper, through the analysis of enterprise organizing and process, proposes the Multi-agent-based IMIS in supporting the dynamic enterprise model, and then discusses in detail how to realize the dynamic adjustment of the enterprise organizing and business process. In addition, the application study of human-computer interaction leads to a discussion of the functions it should have. Great emphasis is attached to the designing of interface Agent, calculation of machine learning and the working procedure of intelligent human-computer interaction.4. Agent is introduced into the information query system (IQS), following the system designing, the intelligent IQS architecture, working procedure and fuzzy optimization query algorithm is further analyzed, and the main advantagesof intelligent IQS are summarized.5. Agent is introduced into decision supporting system (DSS) in analyzing the subsidiary decision models and methods. We, thereby, propose the Agent-based intelligent DSS architecture, Agent innate structure, Multi-Agent working strategy, and the implementation skill. The main benefits of adopting Multi-Agent in realizing intelligent decision supporting system are also elucidated. Agent is also introduced into data mining system (DMS) in analyzing the data mining models and methods. The Agent-based intelligent DMS architecture is proposed, and the DMS process and main advantages are provided.6. As an example of the Agent-based IMIS, a set of center measurement is constructed fully employing technology such as CORBA and Agent based on the business analysis in the measurement center with present features and management situations. The system designing, architecture, implementation and application are also discussed.The dissertation concludes with a summarization of advantages of IMIS designing and implementation, and a series of vistas in this research orientation.