A mobile knowledge management decision support system for automatically conducting an electronic business
This paper presents a mobile knowledge management decision support system using multi-agent technology for automatically providing efficient solutions for decision making and managing an electronic business. The architecture consists of a user interface, an assignment agent, a knowledge reasoning agent, a search agent, a knowledge base, a database, and a model base. The knowledge reasoning agent selects appropriate rules from the knowledge base and uses the facts in the database to reason out suitable solutions, which match better effectiveness via a foreword chaining reasoning method. Furthermore, to provide instant management and control, we have developed an automatic agent to manually or periodically monitor managerial problems using knowledge rules. In addition, the system makes use of ASP combined with Visual Basic to build the functions so that the system is easily implemented., We have also designed a user transparency approach to modify all vital rules, if necessary, without revising the program source codes, so that users can easily manage the knowledge base. Users can modify, add, or drop their latest knowledge rules from the system. When new knowledge is introduced, the system is able to automatically evaluate accurate actions or alternatives for conducting an electronic business. Finally, for the purpose of improving financial management, a neural network is used for predicting future financial measures.
knowledge bases multiple agents m-commerce rule reasoning