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Shall We Talk: Exploring Spontaneous Collaborations of Competing LLM Agents
Feb. 20, 2024, 5:52 a.m. | Zengqing Wu, Shuyuan Zheng, Qianying Liu, Xu Han, Brian Inhyuk Kwon, Makoto Onizuka, Shaojie Tang, Run Peng, Chuan Xiao
cs.CL updates on arXiv.org arxiv.org
Abstract: Recent advancements have shown that agents powered by large language models (LLMs) possess capabilities to simulate human behaviors and societal dynamics. However, the potential for LLM agents to spontaneously establish collaborative relationships in the absence of explicit instructions has not been studied. To address this gap, we conduct three case studies, revealing that LLM agents are capable of spontaneously forming collaborations even within competitive settings. This finding not only demonstrates the capacity of LLM agents …
agents arxiv collaborations cs.ai cs.cl cs.cy cs.ma econ.gn llm q-fin.ec talk type
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