Descriptor of self-determination based on cognitive models

There is interest of scientists of various applied fields of science in the possibilities of research within the framework of the concept of self-determination. It is suggested to concentrate on the general semantic content of self-determination, which is inherent in it regardless of the applied foc...

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Bibliographic Details
Main Authors: Rozin Mikhail, Svechkarev Valeriy, Tumakova Zhanna
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:SHS Web of Conferences
Online Access:https://www.shs-conferences.org/articles/shsconf/pdf/2019/13/shsconf_appsconf2019_04005.pdf
Description
Summary:There is interest of scientists of various applied fields of science in the possibilities of research within the framework of the concept of self-determination. It is suggested to concentrate on the general semantic content of self-determination, which is inherent in it regardless of the applied focus of research. It is shown that self-determination is manifested as a system property of the sociocultural system activity as a whole. Furthermore, the level of self-determination of the sociocultural system and the potential for development in the target direction are directly proportional to the degree of semantic and causal integration of its elements. It has been identified that a set of factors united by cause-and-effect relationships in an oriented named signed graph reflects both the integration causation and the logical-semantic target organization of the sociocultural system. Thus, based on the figurative approximation of the essence of the studied system property of self-determination and its visual metaphorical representation in the form of a cognitive model, we get the opportunity to study the self-determination descriptor. Analysis of the causal integration of the elements of the sociocultural system or process using cognitive models makes it quite simple to determine the level of self-determination of a system not only at a qualitative but also at a quantitative level.
ISSN:2261-2424