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

被引：0

作者：

Smagina, Valentina Viktorovna ^{[1
,2
]}

Smagina, Victoria Igorevna ^{[3
]}

Strekalov, Nikolay Vasilyevich ^{[4
]}

机构：

[1] FSEI HPE Tambov State Univ, Econ, Tambov, Russia

[2] FSEI HPE Tambov State Univ, Tambov, Russia

[3] FSEI HPE Russian Univ Transport, Inst Econ & Finance, Dept Labor Econ & Human Resource Management, Moscow, Russia

[4] Natl Res Univ, FSEI HPE Moscow State Tech Univ, Dept EBM 6, Dept Entrepreneurship & Foreign Econ Act, Moscow, Russia

来源：

PROCEEDINGS OF THE VOLGOGRAD STATE UNIVERSITY INTERNATIONAL SCIENTIFIC CONFERENCE: COMPETITIVE, SUSTAINABLE AND SAFE DEVELOPMENT OF THE REGIONAL ECONOMY (CSSDRE 2019) | 2019年 / 83卷

关键词：

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

D O I：

暂无

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

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.

引用

页码：566 / 569

页数：4

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