Abstract
The study offers an introduction to the paradigm, concepts and algorithms of Computational Intelligence (CI). We elaborate on the main technologies of CI: neural networks, fuzzy sets or Granular Computing, in general, and evolutionary optimization and identify their focal points and stress an overall synergistic character of these technologies, which ultimately gives rise to the highly symbiotic processing environment. Furthermore, the main advantages and limitations of the CI technologies are discussed. The key linkages of CI with the area of Software Engineering, especially its quantitative facet, are stressed.