By Lidia Ogiela
The improvement of machine technology is now so quick that we, the readers, in-creasingly obtain expertise information approximately new ideas and purposes which quite often straddle the border among the true and the digital worlds. machine technological know-how can also be the world during which cognitive technology is witnessing a renaissance, be-cause its blend with technical sciences has given delivery to a extensive medical self-discipline known as cognitive informatics. And it truly is this self-discipline which has develop into the most subject of this monograph, that's additionally to function a type of consultant to cognitive informatics difficulties.
This ebook is the results of paintings on structures for the cognitive research and inter-pretation of varied info. the aim of such an analytical method is to teach that for an in-depth research of information, the layers of semantics contained in those units has to be taken under consideration. The interdisciplinary nature of the suggestions proposed signifies that the topic of cognitive platforms forming a part of cognitive informatics turns into a brand new problem for the learn and alertness paintings conducted.
The authors of this monograph desire that it'll consultant Readers on an engaging and actual trip in the course of the intricacies of knowledge and cognitive technological know-how.
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Additional info for Advances in Cognitive Information Systems
This comparison, by causing cognitive resonance, leads to confirming one of the possible hypotheses (in the case of data whose content can be understood), or conversely, shows that the inconsistency of features and expectations cannot be eliminated. The first case means that the analysis process conducted was successful, the second means that the attempt to automatically understand data failed , . Information systems using cognitive resonance for data analysis are based on methods defining structural reasoning techniques for matching patterns , .
Fig. 14. Data analysis process The data analysis process is complemented with the cognitive analysis, which consists in selecting consistent pairs and non-consistent pairs of elements from the generated set of features characteristic for the analysed set and from the set of expectations as to the analysed data generated using the expert knowledge base kept in the system. The comparison leads to cognitive resonance aimed at identifying consistent pairs and non-consistent pairs, where the latter are immaterial in the further analysis.
17). Fig. 17. The process of identifying a member of a given category The meaning of the analysed word, which in the semantic analysis may relate to the description of basic aspects of the meaning of this word constituting the set of defining features making it possible to identify the semantic features, also helps to extract the characteristic aspects of the meaning of the analysed word. These aspects are called characteristic features, and just as defining features, they contribute to identifying the semantic features of the word.
Advances in Cognitive Information Systems by Lidia Ogiela