Title: Systems of distributed artificial intelligence for analysis of oil product transportation processes: evidence from Russia

Authors: Elena Serova; Daniil Shklyaev

Addresses: HSE University, 3 Kantemirovskaya St., St. Petersburg, 194100, Russia ' HSE University, 3 Kantemirovskaya St., St. Petersburg, 194100, Russia

Abstract: At present, the use of artificial intelligence (AI) methods and tools is an essential component of management information systems for a company to succeed in a rapidly changing environment. Agent-based modelling systems as systems of distributed AI must be considered nowadays as an obligatory stage of decision-making in Russian oil and gas companies, which use modern information technologies actively. The paper is focused on the description and comparative analysis of system dynamics and agent-based modelling, used for intelligent decision support systems development in transport logistics. The main goal of this research is evaluation of the multi-agent system's role for decision-making processes and management information systems development and creating the model of logistics processes (the processes of oil and oil products transportation, loading, and unloading). The work is based on a generalisation of theoretical researches in this area along with international practices and domestic experience.

Keywords: artificial intelligence; distributed artificial intelligence systems; simulation; agent-based modelling; transport logistics; the processes of oil and oil products transportation; Russia.

DOI: 10.1504/IJSPM.2021.121698

International Journal of Simulation and Process Modelling, 2021 Vol.17 No.2/3, pp.106 - 115

Received: 26 Feb 2021
Accepted: 05 May 2021
Published online: 24 Mar 2022 *

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