|Budget Amount *help
¥1,900,000 (Direct Cost : ¥1,900,000)
Fiscal Year 1997 : ¥900,000 (Direct Cost : ¥900,000)
Fiscal Year 1996 : ¥600,000 (Direct Cost : ¥600,000)
Fiscal Year 1995 : ¥400,000 (Direct Cost : ¥400,000)
To implement plans for resolution of problems in local societies, it is essential to make social concensus for the resolution plans in contrast with global problems. This study aims to propose a framework to evaluate a process of social consensus in veiw of a social decison process.
In the first year (1995) , we had become aware of social justice to make a consensus especially in a society which consists of persons with various values. Concretely, we argue some logics of distributive justice, namely, a model of self-responsiblity and one of egalitarianism. In these models, we make a distinction between involuntary parts and self-responsible ones, and argue that former parts should only be equalized on each person.
In parallel with these theoretical arguments, we construct a learning model on a hyper-game to present a process of social decision, not based upon the Bays theory but an extension learning. Using this learning model, we analyze Multi-Function Polis (MEP) project, which was aiming to develop a futuristic international city including both 'high-tech' and 'high-touch' functions in cooperation with Australian and Japanese industrial investment. They are presently not getting start on MFP,and we examine two kinds of misunderstandings ; one is on 'enclave problem' based on rumors and suspicious, another is on how Australian news agencies had reported investment willingness of Japanese companies. The results of suggest that there existed excessive amount of complexity in the original MFP concept, and the project handling actors had failed to build a good public relationship, especially to Australian domestic new agencies.