Multi-agent systems powered by large language models: applications in swarm intelligence

This work examines the integration of large language models (LLMs) into multi-agent simulations by replacing the hard-coded programs of agents with LLM-driven prompts. The proposed approach is showcased in the context of two examples of complex systems from the field of swarm intelligence: ant colon...

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Bibliographic Details
Main Authors: Cristian Jimenez-Romero, Alper Yegenoglu, Christian Blum
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Artificial Intelligence
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2025.1593017/full
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