The Zen of fuzzy logic and neural networks

The modern technologies of fuzzy logic and neural networks are based on operations on truth values or degrees of class membership. They operate more closely to the manner that we currently believe humans use to think and control. Once you understand the underlying functionality you can find ways to apply the technologies to otherwise difficult to solve problems. If we take human thought and action as one baseline for intelligence, then neural nets, fuzzy logic and their hybrids can be seen as more intelligent platforms. These more intelligent tools allow users to re-frame the problem space to a larger systems view. An implementor no longer has to be concerned with the underlying physics of a system, or with control theory details. The problem space is expanded to a higher level while the lower level part is passed off to the core computational method. This paper proposes the effects of a whole new approach to problem solving enabled by neural/fuzzy technologies