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Pattern Classifications in Cognitive Informatics

  • Lidia Ogiela
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 386)

Abstract

This chapter presents problems to which cognitive data analysis algorithms are applied. The cognitive data analysis approach presented here will be used to build cognitive systems for classifying patterns, which in turn will form the basis for discussing and characterising Understanding Based Image Analysis Systems (UBIAS). The purpose of these systems is image analysis, while their design and operation follow cognitive/reasoning processes characteristic for human cognition. Such processes represent not just simple data analysis, but their main function is to interpret, understand and reason about analysed data sets, employing the automatic data understanding process carried out by the system. A characteristic feature of cognitive analysis processes is the use of linguistic algorithms – which are to extract the meaning from data sets – to describe the analysed sets. It is those algorithms that serve to describe the data, interpret it and to reason.

Keywords

Cognitive informatics pattern classifications pattern understanding cognitive analysis computational intelligence natural intelligence intelligent systems 

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© Springer Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.AGH University of Science and TechnologyKrakowPoland

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