Self-learning systems as a new macro-regional level of the productive forces in the process of new industrialization

DOI

10.2991/sicni-18.2019.173How to use a DOI?

Keywords

new industrialization, region development, the fourth industrial revolution, Urals macro-region, the system of decision-making support.

Abstract

The concepts of new industrialization based on the evolutionary model of the fourth industrial revolution are studied in the article, the term “new industrialization” is clarified, the innovative activity of Russian regions is analyzed, thus, based on the aspects above, the directions of structural reforms that will ensure the activation of new industrialization processes formation in the economic space of the Urals macro-region are highlighted. For this reason the authors consider the main development vectors formation of the new industrial sector to proceed according to the regional requirements of life standards. It involves the application of system approach principle, basing on the new industrialization concept as a social and economic category. It is also proved that enterprises should actively implement self-learning management systems based on artificial intellect, thereby increasing both financial and reputational management efficiency. An example of self-learning systems scheme that can dynamically manage their internal processes basing on a flexible assessment of their effectiveness is illustrated.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Anna Tikhonova
AU  - Natalya Sosnina
AU  - Dina Prostova
PY  - 2019/01
DA  - 2019/01
TI  - Self-learning systems as a new macro-regional level of the productive forces in the process of new industrialization
BT  - Proceedings of the 2nd International Scientific conference on New Industrialization: Global, national, regional dimension (SICNI 2018)
PB  - Atlantis Press
SP  - 860
EP  - 865
SN  - 2352-5398
UR  - https://doi.org/10.2991/sicni-18.2019.173
DO  - 10.2991/sicni-18.2019.173
ID  - Tikhonova2019/01
ER  -