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correctly identifying people. This role consists not just in correctly recognising the
individual, but primarily makes it possible to build bases using individual features
of the individual, enhanced with their semantic aspects. It is those semantic pa-
rameters that give the certainty that the given person (if they are characterised by
any lesion, e.g. in their hand skeleton) will be correctly identified using their indi-
vidual biometric features and verified using lesions. Thus the wrong identification
of a given individual becomes highly improbable. If the system were to incorrectly
assign biometric features to a person who, during the personal verification proc-
ess, has to undergo a two-stage identification analysis, this result will still be sub-
ject to the second stage of the semantic analysis. Thus if the given person has
some lesions, they allow this person to be correctly identified. If he/she has no le-
sions, the analysis process obviously ends at the first of the above stages. This is
why, in their operation, E-UBIAS systems combine the analysis of biometric fea-
tures of a given person and the cognitive analysis of possible lesions present.
Contemporary systems of cognitive data analysis are also used to build an arti-
ficial brain and automatic 'imitations' of Man, called cognitive robots. Their vari-
ety, numerous solutions and improvement attempts show how many of us are fas-
cinated by this type of work. This is probably due not just to the splendid
opportunities for using cognitive robots, but primarily to the great satisfaction with
being able to build a real (though machine and automatic) solution. If we just look
at the examples of cognitive robots cited here (selected from a much more numer-
ous group), we get the inescapable feeling that the 'faces' of these robots show the
great satisfaction they gave to their authors. Cognitive robots are solutions with
bright future before them, because their wide range of application can still be
stretched in many different directions. They also represent the 'hope' of the world
of science that we will at least partly be able to build an artificial brain, not as a
replica of the human one, as this is impossible, but as its most complete version
reflecting its ideal to the greatest possible degree. This is a very difficult job and
none of us can answer the question:
How well can an artificial brain imitate the
human one and to what extent
?
