Scenario Modelling of Country’s Region Development with Artificial Intelligence Support

Abstract

The paper describes the modern control (governance, management) science approach to the socioeconomic development of a country’s region (province, subject, municipality) in the context of public administration. Proven methods for strategic goal setting, scenario and economic modelling with artificial intelligence support based on opportunity assessing and system optimisation are presented. The region is given as an integrated object for control. Strategic planning uses hierarchy analysis methods. The experience of scenario modelling, evaluation, and selection of priority scenarios of the region’s socioeconomic development with estimating the current economic indicators of the region is represented. The deep learning approach and big data analysis help to verify and automatically create scenario models under team members’ control. The proposed methodology has a significant approbation in the real sector of the economy.