APPLICATION OF MULTI-AGENT SYSTEMS IN SCIENTIFIC RESEARCH
DOI:
https://doi.org/10.30888/2709-2267.2025-33-00-027Keywords:
multi-agent systems, scientific research, large language models, artificial intelligence, agent coordination, analytics automation, ethical aspectsAbstract
The paper examines modern multi-agent systems, particularly those integrating large language models such as CrewAI. It demonstrates that such systems are capable of supporting the research process by facilitating information collection, source analysis, aMetrics
References
Wooldridge, M. An Introduction to MultiAgent Systems. Wiley, 2009.
Rossi, F., Bandyopadhyay, S., Wolf, M.T., Pavone, M. Multi-Agent Algorithms for Collective Behavior: A Structural and Application-Focused Atlas. arXiv, 2021.
Tillmann, A. Literature Review of Multi-Agent Debate for Problem-Solving. arXiv, 2025.
Duan, Zhihua & Wang, Jialin. (2024). Exploration of LLM Multi-Agent Application Implementation Based on LangGraph+CrewAI. 10.32388/R27SW4.
Chin, S.Y., Ng, K.W. Comparative of Multi-Agent System Frameworks: CrewAI, LangChain and AutoGen. SSRN, 2024.
Oliveira, E. et al. Multi-agent systems: which research for which applications. Robotics and Autonomous Systems, 1998.
Falco, Mariana & Robiolo, Gabriela. (2020). Tendencies in Multi-Agent Systems: A Systematic Literature Review. CLEI Electronic Journal. 23. 10.19153/cleiej.23.1.1.
DeepLearning.AI. Multi AI Agent Systems with CrewAI (Short Course). 2024.
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