Publication: Semantic Stabilization Tools for Managing the Cognitive Activity of the Subject
Дата
2022
Авторы
Kosikov, S.
Slieptsov, I.
Ismailova, L.
Wolfengagen, V.
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Аннотация
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.The paper considers a model of knowledge extraction based on the conceptual modeling of user interaction with a domain-oriented virtual environment. The environment is modeled as a network of information graphs that changes its structure over time. This allows us to set the task of supporting the modeling of the cognitive activity of the subject in a changing environment. The description of changes is made on the basis of a parameterized computational model using the construction of a variable domain. The paper shows that a given set of domain variables can be considered as nested in a topos, which provides a natural construction of program structures. The paper offers a tool for working with variable domains, which provides the task of semantically stable fragments of information graphs. The tool is a specialized applicative-type evaluator that provides computations in a changing environment. The build-up of network vertices and connections can lead to system contradictions, for the resolution of which it is necessary to include special handlers, the number of which can grow excessively. The evaluator provides a solution to the problem of managing handlers. Attempts to solve the mentioned difficulties and contradictions in practice lead to the idea of a multi-layer network architecture and semantic adapters.
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Semantic Stabilization Tools for Managing the Cognitive Activity of the Subject / Kosikov, S. [et al.] // Studies in Computational Intelligence. - 2022. - 1032 SCI. - P. 176-181. - 10.1007/978-3-030-96993-6_17
URI
https://www.doi.org/10.1007/978-3-030-96993-6_17
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https://openrepository.mephi.ru/handle/123456789/28964