Development of the Case-Based Reasoning System for Regional Science and Technology Policy
- Akiya NAGATA
Director/Professor, Center for Science, Technology and Innovation Policy Studies, Kyushu University
- （1）Creation of a case information database on regional science, technology, and innovation policy
The aim of this project is to collect case information on regional science, technology and innovation policy enforced since the 1980’s by using a questionnaire survey and interviews with policy-makers, followed by the creation of a database of this case information.
- （2）Development of rules of inference for retrieving information on relevant prior cases and means of problem-solving in those cases
The aim of this project is to develop rules of inference to retrieve information on relevant prior cases and recommended means of problem-solving to respond to the needs of administrators faced with problems in policy planning or implementation.
- （3）Placing a decision-making support system with a case-based reasoning engine on a website
The aim of this project is to place a decision-making support system with a developed case-based reasoning engine on a website for the use of policy-makers.
Various types of policy to promote regional science and technology have been introduced in Japan since the 1980’s. Although those policies have achieved a degree of success in fostering entrepreneurs and developing human networks, some remaining problems have been pointed out regarding the fact that the policy target of sustainable revitalization of regions has not been realized. This project aims to develop a decision-making support system with applied case-based reasoning to contribute to the resolution of these problems.
Case-based reasoning is a technique for problem-solving based on the solution of similar past cases. The system of reasoning has been put to practical use in engineering problem-solving, diagnosis, decision making on managerial issues, legal reasoning and so on. By applying the techniques of planning and problem-solving to regional science, technology and innovation policy, the sharing of useful knowledge for regional revitalization among regions becomes possible. The scheme of this project includes a large-scale acquisition of case information, construction of database, analyses of success factors of policies, and the development of rules of inference and their implementation. The developed system will be placed on a website for the use of policy makers, with the object of disseminating the results of this project.