Rational data selection from heterogeneous information space: problem statement

¹ Novosibirsk State University of Economics and Management, Department of Statistics, 56, Kamenskaya st., 630099 Novosibirsk, Russia
² Siberian Institute of Management -branch of the Russian Academy of National Economy and Public Administration under the President of the Russian Federation, Research Laboratory “Sustainable Development of Socio-Economic Systems”, 6, Nizhegorodskaya st., 630102 Novosibirsk, Russian Federation
³ Siberian Institute of Management -branch of the Russian Academy of National Economy and Public Administration under the President of the Russian Federation, Scientific and Educational Centre “Digital Transformation of the Economy”, 6, Nizhegorodskaya st., 630102 Novosibirsk, Russian Federation

^* Corresponding author: s444@ngs.ru

Abstract

The paper considers the problem of providing rational data selection from heterogeneous information space for adaptive-heuristic intelligence embedded in the mechanism of robust management of socio-economic systems. The relevance of solving the presented problem is determined by the need to adapt the work of the socio-economic system to the paradigm of modernity -sustainable functioning and development in conditions of accelerated changes. Systems move from complex to complex-adaptive, diffuse forms with the development of the ability to self-regulate like living, biological systems. To survive and develop, they try to make flexible, anticipatory adaptations within the limits of acceptable deviations of physiological parameters from some parameters -constants of health, which represent the conditions of maintaining homeostasis. The prototype is the automatic robust control of closed systems, in which the leading parameters are given a certain degree of freedom and the limit of their permissible changes is set. The effectiveness of such control strongly depends on the reliability of the data -facts entered the information granules of adaptive and robust homeostasis. We propose a technology for obtaining reliable information about the state of the studied objects for robust management based on the use of rational choice methods.