Intelligent economic decision support system IEDSS for development strategic design

The paper presents the theoretical background and the conceptual framework for designing an intelligent decision support system towards the economic development strategy of China (national and/or regional). AI technology plays prominent and direct roles in the implementation of the IEDSS. The IEDSS performs its solution searching process as learning. When conducting a problem solving, the decision maker DM and the system DSS compensate each other with their equipped knowledge capability and work cooperatively to reach an optimal or sub-optimal solution. The 'intelligent' features of the system are configured with an integrated knowledge base management system IKBMS, and an intuitive man-machine interface M-M. The IKBMS is the machine brain of the artificial system, and knowledge is the brain's internal representation of the external world. And the system's model-based aspiration led problem solving function is just its knowledgeable behavior. The M-M monitors all user actions during the problem solving process, and offers user-requested passive help, program-requested active prompting and error-driven active messaging in a uniform fashion. The IKBMS is essentially an object- oriented (or frame/rule-based) system and the desired M-M functions are dynamicly determined by the procedure embedded in the object frame slots. The process of developing a solution in the managerial domain is mostly evolutionary or incremental rather than 'one-shot'. The reported M-M of IEDSS is, designed to facilitate easy utilization and access of the system in a way that is object-oriented.