Methods of artificial intelligence in the indicative economy as a tool for managing socio-economic systems at the regional level

DOI

10.2991/cssdre-19.2019.109How to use a DOI?

Keywords

indicative economy, artificial intelligence, long-term development strategy, indicative planning, machine learning, socio-economic system, information systems, state administration, regional economy, budgeting

Abstract

This article has analyzed the principal applications of artificial intelligence in the indicative economy. The mathematical model of the target function of the socio-economic system development has been determined. The effectiveness of modern solutions in the field of application of public administration information systems at the regional level has been assessed. The use of indicative planning tools as a key factor in creating long-term development strategies for the regions has been substantiated. Recommendations for the implementation of scoring models, as a comprehensive solution to assess the state of the socio-economic system have been formed.

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  - Valentina Smagina
AU  - Victoria Smagina
AU  - Nikolay Strekalov
PY  - 2019/06
DA  - 2019/06
TI  - Methods of artificial intelligence in the indicative economy as a tool for managing socio-economic systems at the regional level
BT  - Proceedings of the Volgograd State University International Scientific Conference "Competitive, Sustainable and Safe Development of the Regional Economy" (CSSDRE 2019)
PB  - Atlantis Press
SP  - 566
EP  - 569
SN  - 2352-5428
UR  - https://doi.org/10.2991/cssdre-19.2019.109
DO  - 10.2991/cssdre-19.2019.109
ID  - Smagina2019/06
ER  -