Research
Computational Intelligence (CI) refers to the theory, design, application, and development of biologically and linguistically motivated computational paradigms, such as artificial neural networks, fuzzy systems, and genetic algorithms.
A CI system exhibits an ability to learn and/or to deal with new situations, so that it is perceived to show intelligent behavior. It is flexible to changing environments and changing goals, it learns from experience, and performs tasks commonly viewed as intelligent, such as generalization, association and discovery. In particular, a CI system is often capable of replacing highly skilled people with all their expertise.
Good candidates for CI solutions are problems involving imprecise, uncertain or imperfect data, domains where no mathematical algorithm is available, situations in which only the knowledge of domain experts is available, etc.
Possible application fields include decision support, pattern recognition, temporal series prediction, fusion of opinions of several human experts, business intelligence, etc.
