COGNITIVE MODELING AS A METHOD TO CONTROL MIGRATION TEMPERATURE

  • Oleg Patlasov K.G. Razumovski Moscow State University of technologies and management, Moscow
  • Oleg Luchko Omsk Humanities Academy, Omsk
  • Svetlana Mukhametdinova Omsk Humanities Academy, Omsk
Keywords: labor migration; target factor; controlling factors; migration policy

Abstract

The research describes one of the approaches to designing a productive mechanism for migration temperature control considering it as an integral qualitative and quantitative indicator of the social and economic problems level associated with migration processes. The analysis of various approaches to studying migration processes impact on socioeconomic situation in recipient countries has been carried out. Some cognitive models have been developed basing on the questionnaire results’ analysis, expert assessments, statistical data. A series of simulation experiments have been carried out using software specially developed to automate the cognitive modeling processes.In the course of our experiments, some changes in the target factor. i.e., in migration temperature, have been detected as a result from different intensity impulses impacting on individual controlling factors. Within the developed models framework, several proposals have been put forward concerning the productive mechanism for migration temperature control.

Author Biographies

Oleg Patlasov, K.G. Razumovski Moscow State University of technologies and management, Moscow

is a chief specialist of the Federal State Budget Educational Institution of Higher Education K.G. Razumovski Moscow State University of technologies and management; the Vice-Rector for International Affairs in Omsk Humanities Academy, also the Vice-Rector for Licensing and Accreditation in Omsk Regional Institution. He is a Honorary Worker of Higher Professional Education, Professor, PhD in Economics, Federal Expert in scientific and technical sphere of the Russian Federation.

He has more than 300 scientific papers published in central national and foreign journals as well as monographs and university textbooks. 12 of his papers have been published in the journals indexed by Scopus and Web of Science.

Oleg Luchko, Omsk Humanities Academy, Omsk

is the Head of the Department of Informatics, Mathematics and Science Disciplines of the Omsk Humanities Academy.

His main scientific interests are: modeling of technical, economic and social processes and systems, introduction of information and communication technologies into various fields of economic activity.

Professor Luchko has more than 200 published scientific papers: monographs, textbooks, articles in central Russian and foreign journals, including those indexed in Scopus database.

Svetlana Mukhametdinova, Omsk Humanities Academy, Omsk

is an Associate Professor of Informatics, Mathematics and Science Disciplines Department of the Omsk Humanities Academy, Candidate of Pedagogical Sciences.

Her main scientific interests are: modeling of economic and social processes and systems using information and communication technologies.

She has over 40 published scientific works, including monographs, textbooks, articles in central Russian and foreign publications, including those indexed by Scopus.

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Published
2020-02-05
How to Cite
Patlasov, O., Luchko, O., & Mukhametdinova, S. (2020). COGNITIVE MODELING AS A METHOD TO CONTROL MIGRATION TEMPERATURE. The EUrASEANs: Journal on Global Socio-Economic Dynamics, (1(20), 69-87. Retrieved from https://euraseans.com/index.php/journal/article/view/182