抄録
By introducing constraint-oriented notion of fuzziness and the principle of Synergetics, we propose a double-layered system architecture for constraint satisfaction problems involving continuous variables and fuzzy constraints whose upper layer is for structual part of the problems and the lower layer is for elastic part of the problems. The elastic part is treated by decentralized interactive activities among autonomous problem solving units. The structual part is treated by a centralized logic-based symbol processing unit which works concurrently and interactively with the autonomous units for the elastic part. Here decentralization and self-organization is based on Synergetics, and fuzziness is utilized for coding and decomposing complex constraints thus enabling this system architecture. This autonomous decentralized system architecture is then implemented on transputers by using Occam and is applied to design problems showing the effectiveness of our approach.
