Issues in Applying Computational Intelligence

Abstract

Applying any emerging technology is not trivial and requires some level of risk-taking even when the competitive advantage is clear. In the case of computational intelligence the process is even harder due to the different nature of the comprising methods, the lack of marketing, affordable professional tools and application methodology. Another important factor slowing down computational intelligence applications is the wrong perception of the technology. To many potential users it looks like it's either too expensive or it's rocket science. The pendulum of expectations also swings from one extreme of anticipating a silver bullet to all problems to the other extreme of awaiting the next technology fiasco.