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arXiv · 2402.04578

S-Agents: Self-organizing Agents in Open-ended Environments

Jiaqi Chen·Yuxian Jiang·Jiachen Lu·Li Zhang
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Abstract

Leveraging large language models (LLMs), autonomous agents have significantly improved, gaining the ability to handle a variety of tasks. In open-ended settings, optimizing collaboration for efficiency and effectiveness demands flexible adjustments. Despite this, current research mainly emphasizes fixed, task-oriented workflows and overlooks agent-centric organizational structures. Drawing inspiration from human organizational behavior, we introduce a self-organizing agent system (S-Agents) with a "tree of agents" structure for dynamic workflow, an "hourglass agent architecture" for balancing information priorities, and a "non-obstructive collaboration" method to allow asynchronous task execution among agents. This structure can autonomously coordinate a group of agents, efficiently addressing the challenges of open and dynamic environments without human intervention. Our experiments demonstrate that S-Agents proficiently execute collaborative building tasks and resource collection in the Minecraft environment, validating their effectiveness.

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Jiaqi Chen, Yuxian Jiang, Jiachen Lu, Li Zhang. 2024-02-07. S-Agents: Self-organizing Agents in Open-ended Environments. https://arxiv.org/abs/2402.04578

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