Scientific Bulletin of the Odessa National Economic University 2022, 3-4, 17-21

Open Access Article

Expandingthe posibilities of economic processes modeling with modern software

Vasylchenko Kyrylo
PHD in Economy, lecturer of the Department of Economic Cybernetics and Information Technologies, Odessa National University of Economics, Odesa, E-mail:abm.kgvas@gmail.com, ORCID ID: https://orcid.org/0000-0002-5377-7855

Lystopad Nikita
student of the Faculty of Management, Accounting and Information Technology, Odessa National University of Economics, Odesa, E-mail:nikita12312123@gmail.com, ORCID ID: https://orcid.org/0000-0003-2337-6900

Cite this article:

Vasylchenko K., Lystopad N. (2022) Expandingthe posibilities of economic processes modeling with modern software. Ed.: V.V. Kovalenko (ed.-in-ch.) and others [Rozshyrennia mozhlyvostei modeliuvannia ekonomichnykh protsesiv z vykorystanniam suchasnoho prohramnoho zabezpechennia; za red.: V.V. Kovalenko (gol. red.)], Scientific Bulletin of the Odessa National Economic University (ISSN 2313-4569), Odessa National Economics University, Odessa, No. 3-4 (292-293), pp. 17-21.

Abstract

Purpose. Examine ways of upgrading economic processes modeling tools and examine AnyLogic’s level of development in this topic. To achieve this goal, methods of collecting and summarizing information were used. Methods of abstraction, deduction, induction and modelling were used. In the course of the research a logical method was used, which made it possible to analyze scientific works in the field of economic modeling. Graphical methods are also used in comparative. The research is based on articles by different scientists and journalists. The conclusion about ways of upgrading economic modeling tools is made. Importance of artificial intelligence is explained. Obsolescence of object-oriented development in economic modelling is determined. Ways of the integration AI with AnyLogic are researched. Advantages and disadvantages of integration AnyLogic and Project Bonsai are formulated. Perspectives of future development of AnyLogic in the way of integration artificial intelligence in economic modelling are determined. Main area of Project Bonsai application in economic modelling is revealed. Possibility of integration existing paradigm with the most promising one is declared. Scientific novelty. The way of integration artificial intelligence in economic modelling, chosen by AnyLogic, is analyzed. Practical importance is to use all designated advantages of co-working with Microsoft and neutralize all designated disadvantages of Project Bonsai. In work on the developed task, essence, principles of economic modelling how to make best competitive economic modelling software and get develop faster than rivals. Possible ways of development in next 5-10 years are offered. Things to pay attention to in nearby future are determined. Way to get additional profit are offered.

Keywords

AnyLogic, artificial intelligence, economic modelling, Project Bonsai, agent-based modelling.

JEL classification: C880, C450, С610; DOI: 10.32680/2409-9260-2022-3-4-292-293-17-21

UD classification:330.46

Лицензия Creative Commons
This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References

  1. Official site of AnyLogic. (2022). Retried from:http://www.xjtek.ru/
  2. Official site of Python. (2022). Retried from: https://www.python.org/
  3. Starobor І.О. (2021). The use of machine learning in the development of game mechanics. URL: https://webcache.googleusercontent.com/search?q=cache: QQATvaSnSjMJ:https://phm. cuspu.edu.ua/ojs/index.php/SNYS/article/download/1764/pdf+&cd=3&hl=uk&ct=clnk&gl=ro [In Ukrainian].
  4. Storchak K.P., Tushych A.M., Kozelkova K.S., Stepanov M.M. (2018). Intelligent analysis of data using neural networks. Communication, 4, 17-19. [In Ukrainian].
  5. Lavreniuk M.S., Novikov A.M. (2018). Overview of machine learning to classify large volumes of satellite data. System research & information technologies. 1. 52-71. [In Ukrainian].
  6. Gara, A. (2017). Kensho's AI for investors just got valued at over $500 million in funding round from Wall Stree. Forbes. Retried from: https://www.forbes.com/sites/antoinegara/2017/02/28/ kensho-sp-500-million-valuation-jpmorgan-morgan-stanley/?sh=c7533775cbf1
  7. Consolidated financial statements and consolidated report of the NBU Department (2020). Retried from https: https://bank.gov.ua/admin_uploads/article/NBU_2020_consolidated_fsu. pdf?v=4 [In Ukrainian].
  8. Alotaibi N.M. (2018). Agent-based big data classification. Journal of Fundamental and Applied Sciences. Vol. 10, No. 4., 258-264.
  9. Official site of Project Bonsai (2022). Retried from: https://azure.microsoft.com/ru-ru/ services/project-bonsai/
  10. Official site of AnyLogic (2022). Retried from: https://www.anylogic.ru/features/timeline/ [In Russian].
  11. Official site of Microsoft (2022). Retried from: https://blogs.microsoft.com/ai-for-business/ anylogic-project-bonsai/

Україна, м.Одеса, 65082
вул. Гоголя, 18, ауд. 110.
(048) 777-89-16
visnik.nauka visnik.nauka@gmail.com

ПнВтСрЧтПтСбНд

 

Flag Counter
 -->