  Computational Intelligence is a dead-end attempt to recreate human-like
intelligence in a computing machine. The goal is unattainable because the means
chosen for its accomplishment are mutually inconsistent and contradictory:
"Computational" implies data processing ability while "Intelligence" implies
the ability to process information. In the research community, there is a lack
of interest in data versus information divergence. The cause of this
indifference is the Shannon's Information theory, which has dominated the
scientific community since the early 1950s. However, today it is clear that
Shannon's theory is applicable only to a specific case of data communication
and is inapplicable to the majority of other occasions, where information about
semantic properties of a message must be taken into account. The paper will try
to explain the devastating results of overlooking some of these very important
issues - what is intelligence, what is semantic information, how they are
interrelated and what happens when the relationship is disregarded.

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