Information Technology Reference
In-Depth Information
Due to the above features, cognitive science covers very diverse areas of work,
including the following [92]:
attempting to explain the mechanisms of perception;
man-computer interactions;
optical illusions;
acoustic illusions;
processes of learning supported with multi-media technologies;
aspects of human memory;
development of memory processes;
teaching processes;
knowledge acquisition;
information analysis and interpretation;
knowledge structure.
Cognitive science is applied very broadly, because it concerns the development
of computational intelligence, including methods of machine recognition and clas-
sification of patterns, multi-dimensional statistics including subjects such as clus-
tering and discriminating, probability-based methods etc. Cognitive science can
also include research on optimisation and the modelling of uncertainties, research
in areas close to technical cybernetics such as sets and approximate logic, as well
as the theory of quality control and modern control technologies.
Cognitive science problems are increasingly frequently dominating not only the
development of humanities, but also science, because cognition models are be-
coming the pattern, the purpose and the basis for the operation of various types of
systems, including information systems designed for:
business;
economy;
logistics;
automation;
cryptography;
medicine;
aviation;
government institutions;
transport;
commerce;
industry.
They are developing incessantly and extremely rapidly (which is necessitated
by the growing economic needs) in many directions, but to an increasing degree
this is founded on cognitive analysis. This is why most specialists deploying com-
puters at companies are becoming convinced that cognitive analysis methods will
soon become extremely useful for understanding economic situations, which will
improve the operation and contribute to the development of computerised man-
agement systems.
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