Agent-based modeling in economics
Rubrics: SCIENTIFIC ARTICLES
Authors:
1.
Kuban State Agrarian University named after I.T. Trubilin
(Kafedra informacionnyh sistem)
student from 01.01.2022 until now
Russian Federation
student from 01.01.2022 until now
Russian Federation
2.
Kuban State Agrarian University named after I.T. Trubilin
(Kafedra informacionnyh sistem)
student from 01.01.2022 until now
Krasnodar, Krasnodar, Russian Federation
student from 01.01.2022 until now
Krasnodar, Krasnodar, Russian Federation
3.
Kuban State Agrarian University named after I.T. Trubilin
(Kafedra ekonomicheskoy kibernetiki, assistent)
employee from 01.01.2018 until now
Russian Federation
employee from 01.01.2018 until now
Russian Federation
Type:
Article
Pages:
from 357
to 360
Status:
In work
Received:
10.05.2025
Accepted:
14.05.2025
Published:
14.05.2025
Subject area:
330.45
Language:
Russian
Keywords:
mathematical and economic modeling, software products, MATLAB, Python, R, GAMS, optimization, forecasting
Abstract (English):
This article discusses modern software products used for mathematical and economic modeling. Special attention is paid to their capabilities, advantages, and limitations in solving complex economic problems. Tools such as MATLAB, Python (libraries NumPy, Pandas, SciPy), R, GAMS, and others are considered, which enable data analysis, forecasting, and optimization of economic processes. Examples of successful applications of these tools in global and Russian practice are provided, including financial market modeling, risk management, and resource optimization. The prospects for the development of software products for economic modeling in the context of digitalization are also discussed.
This article discusses modern software products used for mathematical and economic modeling. Special attention is paid to their capabilities, advantages, and limitations in solving complex economic problems. Tools such as MATLAB, Python (libraries NumPy, Pandas, SciPy), R, GAMS, and others are considered, which enable data analysis, forecasting, and optimization of economic processes. Examples of successful applications of these tools in global and Russian practice are provided, including financial market modeling, risk management, and resource optimization. The prospects for the development of software products for economic modeling in the context of digitalization are also discussed.
Keywords:
mathematical and economic modeling, software products, MATLAB, Python, R, GAMS, optimization, forecasting
mathematical and economic modeling, software products, MATLAB, Python, R, GAMS, optimization, forecasting
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