LLM-Driven Social Influence for Cooperative Behavior in Multi-Agent Systems

This paper presents a novel approach to fostering cooperative behavior in multi-agent systems (MAS) through Large Language Model (LLM)-driven social influence. We propose a theoretical framework where agents’ decision-making processes are influenced not through direct action but by subtle...

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Bibliographic Details
Main Authors: J. de Curto, I. de Zarza
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10912445/
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