arXiv cs.AI· Gordon Dai, Weijia Zhang, Jinhan Li, Siqi Yang, Chidera Onochie lbe, Srihas Rao, Arthur Caetano, Misha Sra·· 4 小时前AI 评分40
Artificial Leviathan：用霍布斯社会契约理论探索 LLM 智能体的社会演化
Artificial Leviathan: Exploring Social Evolution of LLM Agents Through the Lens of Hobbesian Social Contract Theory
AI 导读
一项计算社会科学研究构建了由 LLM 智能体组成的模拟社会，智能体被赋予心理驱力并置于沙盒生存环境中，其社会关系随时间动态演化。研究者以 Thomas Hobbes 的社会契约理论评估该社会：智能体起初处于无约束冲突的“自然状态”，随后出现社会契约、授权绝对主权者并建立和平共同体，与霍布斯的理论预测相吻合。结果表明 LLM 能够建模复杂社会动态，为理解社会结构与群体行为提供潜力。
正文 · 原文
Abstract:The emergence of Large Language Models (LLMs) and advancements in Artificial Intelligence (AI) offer an opportunity for computational social science research at scale. Building upon prior explorations of LLM agent design, our work introduces a simulated agent society where complex social relationships dynamically form and evolve over time. Agents are imbued with psychological drives and placed in a sandbox survival environment. We conduct an evaluation of the agent society through the lens of Thomas Hobbes's seminal Social Contract Theory (SCT). We analyze whether, as the theory postulates, agents seek to escape a brutish "state of nature" by surrendering rights to an absolute sovereign in exchange for order and security. Our experiments unveil an alignment: Initially, agents engage in unrestrained conflict, mirroring Hobbes's depiction of the state of nature. However, as the simulation progresses, social contracts emerge, leading to the authorization of an absolute sovereign and the establishment of a peaceful commonwealth founded on mutual cooperation. This congruence between our LLM agent society's evolutionary trajectory and Hobbes's theoretical account indicates LLMs' capability to model intricate social dynamics and potentially replicate forces that shape human societies. By enabling such insights into group behavior and emergent societal phenomena, LLM-driven multi-agent simulations, while unable to simulate all the nuances of human behavior, may hold potential for advancing our understanding of social structures, group dynamics, and complex human systems.
| Subjects: | Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Computers and Society (cs.CY); Human-Computer Interaction (cs.HC); Multiagent Systems (cs.MA) |
| Cite as: | arXiv:2406.14373 [cs.AI] |
| (or arXiv:2406.14373v4 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2406.14373 arXiv-issued DOI via DataCite |
Submission history
From: Weijia Zhang [view email]
[v1]
Thu, 20 Jun 2024 14:42:58 UTC (8,995 KB)
[v2]
Mon, 1 Jul 2024 22:06:13 UTC (8,995 KB)
[v3]
Mon, 10 Aug 2026 09:15:42 UTC (3,604 KB)
[v4]
Sat, 24 Oct 2026 07:32:47 UTC (3,606 KB)
来源：arXiv cs.AI · arxiv.org