Scientific & Practical Journal
Editorial News
Dear readers! We present to your attention the final issue of the LOGISTICS journal in 2024. We have tried to make it rich and interesting. Today, many Russian companies operate under strict sanctions restrictions, which force them to reorient logistics flows. One of the possible solutions to this problem may be the Russia – Mongolia – China economic corridor. Details can be found in the article by Alexandra Kazunina.
Dear readers! We present to your attention the 11th issue of the LOGISTICS magazine, where you will find relevant materials and articles. And again, the focus is on international cooperation. An important event in this area was the International Trade Day 2024 Forum, held on November 7, 2024 in Moscow.
Dear readers! The tenth issue of LOGISTICS journal opens with a large article dedicated to the results of the BRICS Business Forum, held on October 18, 2024 in Moscow. Yulia Kislova, Director of Agency Market Guide LLC and publisher of LOGISTICS journal, attended the event and prepared an article where she paid special attention to international trade and logistical connectivity of the countries of the association. The details are in the room.
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Problems of application of agent-based modeling in customs affairs
A.А. Arskiy8 / 2024 | PROBLEMS AND OPINIONS
Annotation. The article presents a set of problems of application of agent-based modeling in customs affairs. The thesis about advantages of agent-based modeling as a forecasting tool in comparison with other tools is substantiated. This statement is reasonably confirmed by scientific publications of foreign and Russian scientists, including publications of the author. The main advantage of agent-based modeling is determined by its adaptability to the dynamics of the external environment. The main problems of application of agent-based modeling in customs affairs, the author refers to – sufficiency of data volume, data detailing and dynamics of regulatory control.
Key words. Customs, agent-based modeling, economic forecasting.
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