Pattern Classifications in Cognitive Informatics - Computational Intelligence Paradigms in Advanced Pattern Classification - page 41

defined in the system, there are stages aimed at identifying the analysed data with
particular attention to its semantics (the meaning it contains). The stages of
recognition itself become the starting point for further stages, referred to as the
cognitive analysis. This is why the understanding process as such requires the
application of feedback during which the features of the analysed data are
compared to expectations which the system had generated from its expert
knowledge base. This feedback is called cognitive resonance. It identifies those
feedbacks which turn out to be material for the analysis conducted, i.e. in which
features are consistent with expectations. The next element necessary is the data
understanding as such, during which the significance of the analysed changes for
their further growth or atrophy (as in lesions) is determined.
Fig. 1 Processes of semantic data analysis
The data is analysed by identifying the characteristic features of the given data
set, which then determine the decision. This decision is the result of the completed
data analysis (Fig. 2).