Instinct-Driven Engineering

Abstract

Current Information engineering is focused on artificial world in engineering, in information processing, etc. But as the Real World is getting more and more complicated and complex, and the environments and situations come to change frequently, extensively and in an unpredictable manner, it becomes increasingly difficult to cope with such problems of large dimensions. As the curse of dimension tells us if the number f dimensions become too large, we cannot process the problem mathematically. But we can manage to cope with such changing Real World, although it becomes more and more difficult. Why can we manage to cope with such drastically changin Real World? It is because our instinct can process a tremendously large amount of data. So, instead to sticking to processing everything mathematically, we should think to use our instinct, when it becomes difficult to process mathematically. But even when we use instinct, it becomes more and more difficult to cope with the changes of the Real World. So, this paper proposes to develop a tool to support instinct to reduce its burden. Mahalanobis Distance-Pattern (MDP) approach is proposed as a tool in that direction. MDP is based on ordinal approach based Mahalanobis Distance and combine it with pattern. Thus, it enables instinct to make the most of qualitative evaluation, while the current engineering is primarily based on cardinal approach and only provide quantitative evaluation.