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JOURNALS // News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences // Archive

News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2021 Issue 1, Pages 20–27 (Mi izkab258)

This article is cited in 1 paper

TECHNICAL SCIENCE

Comparative analysis of artificial neural networks and multi-agent systems

A. S. Ibrahim

Institute of Applied Mathematics and Automation – branch of the FSBSE «Federal Scientific Center «Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences», 360000, KBR, Nalchik, 89 A Shortanov str.

Abstract: The article discusses two artificial intelligence systems - neural networks and multi-agent systems. The main goal is to determine the advantages and disadvantages of these AI methods, the best methods of their application in solving certain problems. The schemes of construction and stages of functioning of these methods of artificial intelligence are described. As a result of practical application, some advantages and disadvantages of neural networks (NN) and multi-agent systems (MS) have been identified.

Keywords: neural networks, Multi-agent system, agent, neurons, artificial intelligence, algorithms.

UDC: 004.032.26

MSC: 68T07

Received: 14.12.2020

DOI: 10.35330/1991-6639-2021-1-99-20-27



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© Steklov Math. Inst. of RAS, 2026