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Scientific journal “Vestnik NSUEM”

2022 year, number 1

GENERATION AND RECEPTION OF INFORMATION COMPONENT OF ROBUST CONTROL OF SOCIAL AND ECONOMIC SYSTEMS

M.A. Alekseev1, E.V. Freydina1, V.V. Glinskiy1,2, L.K. Serga1,2
1Siberian Institute of Management - Branch of the Russian Academy of National Economy and Public Administration under the President of the Russian Federation, Novosibirsk, Russian Federation
2Novosibirsk State University of Economics and Management, 3, 4 Novosibirsk State University of Economics and Management Novosibirsk, Russian Federation
Keywords: information generation and reception, robust management of socio-economic systems, complex system

Abstract

Area of study - external reflexively active environment with covering of information «cloudiness of turbulent mixing» of elements-data. Subject of study - methods of arrangement of information chaos, included in the processes of generation and reception of information. The aim consists both in the development of theoretical concepts of external reflexively active environment, formed by information media, and in the elaboration of maximally plausible model of reflection of the environmental «reality» in mental «vision» of decision makers. Tasks. Generalization of the fundamental scientific presuppositions of the «knowledge» category, falling into the conceptual framework of the theory of robust stability and explaining high sensitivity of the system to changes in initial data. Structuring of information chaoscovering of the environment under study, through examination of the generation process: selection of sources of information generation; arrangement of the concepts of area of study - «reproduction of new». Determination of the nature of «information cloudiness» in accordance with offered hierarchy of information structures, revelation of their covering via the use of the apparatus, describing entity characteristics of the behavior of reception process. Formation of the matrix of connectedness of types of structural formations of «information cloudiness» and cognitive tools of reception. Methodology. Logic of the study is built on dichotomy of the «appearance» and «reality» categories. The retrospective analysis considers the development of the approaches to structuring of external environment as an early stage of reproduction of the knowledge concerning object. The existing knowledge concerning external environment is supplemented, on the one hand, by the detailed decomposition of its structural model, on the other hand, by the development of the concepts of the methods of recognition of data entered into certain «information cloudiness». The objectness of information reception is reflected by formalized structures, composing cognitive tools of the transformer of information into knowledge. Results. Information sensitivity of robust control is justified, and a hierarchical model of information structures of external reflexively active environment is built. The types of «information cloudiness», making it possible to realize typological grouping of data, are defined for each structural formation. The matrix of connectedness of structural formations is built on the grounds of: types of «information cloudiness»; cognitive tools of reception. Scientific novelty lies in formation of the methodological approach revealing logic of the study. The application of the approach makes it possible to create the reflection, maximally close to «reality», of entity characteristics of chaotic external reflexively active environment filled with uncertainty and turbulent information flows; in building a mental model of decision maker, - their «vision» through transformation of reality via processes of generation of information structures and reception of «information cloudiness», covering of structural formations, by clustering of data and formalization of structures concerning transformation of information into knowledge. Currently important line of research is aimed at reaching maximum reflection of real state of information space of external environment in the mental model of decision maker, caused by the increasing requirements applicable to quality of information and its significant influence, exercised on the effectiveness of