Issue |
E3S Web of Conf.
Volume 451, 2023
2nd International Conference on Environmental Sustainability Management and Green Technologies (ESMGT 2023)
|
|
---|---|---|
Article Number | 04001 | |
Number of page(s) | 6 | |
Section | Resource Conservation and Provision of Rational Consumption and Production Models | |
DOI | https://doi.org/10.1051/e3sconf/202345104001 | |
Published online | 20 November 2023 |
Agent-Based Modeling Using Artificial Intelligence as a Method for Creating Rational Consumption and Production Models
Ural State University of Economics, Yekaterinburg, Russia
* Corresponding author: a.v.golubin@usue.ru
In a world saturated with rapid changes and uncertainty, the development of methods for forecasting and resource management is an important task for individual enterprises, groups of enterprises and holdings, as well as for entire territorial entities and the country itself. Agent-based modeling using artificial intelligence (AI) and machine learning technologies is becoming a powerful tool for creating sustainable consumption and production patterns.This article discusses how agent-based modeling as a method for describing a real system of consumption and production processes in symbiosis with artificial intelligence to determine the input parameters of the model provide new opportunities in the process of modeling complex resource management systems, which is further reflected in the rational consumption of resources.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.