MULTI-AGENT ARTIFICIAL INTELLIGENCE

PROFILE, BEHAVIOR AND TRENDS AT AN INTERNATIONAL LEVEL FROM THE PERSPECTIVE OF SOCIAL NETWORK ANALYSIS

Authors

DOI:

https://doi.org/10.20397/2177-6652/2025.v25i5.3189

Keywords:

Multiagente; Inteligência artificial; Âmbito internacional; EBSCO; ARS

Abstract

The aim of this study was to investigate the profile, behavior and trends of international scientific research on the topic of multi-agent artificial intelligence from the perspective of social network analysis. To this end, sociometry was used in 45 studies in the EBSCO database. The main findings are: 2022, 2024, 2007, 2021 and 2018 were the most central periods; AI Communications, Journal of Network and Computer Applications, IEEE Transactions on Vehicular Technology, International Journal of Parallel Programming and Computers in Industry were the most central journals; Stefano V. Albrecht, Haihua Zhu, Dunbing Tang, Tong Zhou, Samir Aknine and Suzanne Pinson were the most central authors; Paris Dauphine University, University of Oxford and Pennsylvania State University were the most central institutions; United Kingdom, China, USA, Canada, Saudi Arabia, United Arab Emirates and Australia were the most central countries; reinforcement learning, artificial intelligence, multi-agent system, distributed artificial intelligence, intelligent agents, multi-agent systems, proximal policy optimization, multiagent systems, swarm intelligence and smart manufacturing were the most central keywords. Regarding the networks of the authors, institutions and countries, all had low density measurements, impacting the flow and exchange of information and knowledge about the subject under investigation in the international scientific literature. This study concludes by highlighting the contemporaneity of the multi-agent theme of artificial intelligence, from the perspective of sociometry and in light of the EBSCO database, contributing to the emergence of future research and, consequently, to the growth, development and maturation of the aforementioned theme in the academic field.

Author Biography

Henrique César Melo Ribeiro, Universidade Federal do Delta do Parnaíba (UFDPar)

Pós-Doutor em Administração (UNIFOR). Doutor em Administração (UNINOVE). Prof. DE da UFPI.

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Published

2025-12-19

How to Cite

Melo Ribeiro, H. C. (2025). MULTI-AGENT ARTIFICIAL INTELLIGENCE: PROFILE, BEHAVIOR AND TRENDS AT AN INTERNATIONAL LEVEL FROM THE PERSPECTIVE OF SOCIAL NETWORK ANALYSIS. Revista Gestão & Tecnologia, 25(5), 77–107. https://doi.org/10.20397/2177-6652/2025.v25i5.3189

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Vol. 25 No. 5 (2025)

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ARTIGO

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