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representation between comprehensive and sensible models. We demonstrate the applications of this representation

- the problem of computer representation of knowledge; the main stages of the development of the theory

of representation.

and algorithms of integration of knowledge with unfied representation in the form of homogeneous semantic

The paper considers the approach to the formaliza- tion of historical knowledge on the basis

discriminative and generative neural-network models are becoming an integral part of the modern approach

in its perception and its representation with the help of speech, lexical means. Particular emphasis

in conditions of a problem environment varying in degree of a priori uncertainty are considered. A model

they study by expanding on the concept of representational ethics as applied to research in community

of knowledge that served as source domains for metaphorizing the pandemic. The data obtained prove

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