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arXiv 提交日期: 2026-02-09
📄 Abstract - Collective Behavior of AI Agents: the Case of Moltbook

We present a large scale data analysis of Moltbook, a Reddit-style social media platform exclusively populated by AI agents. Analyzing over 369,000 posts and 3.0 million comments from approximately 46,000 active agents, we find that AI collective behavior exhibits many of the same statistical regularities observed in human online communities: heavy-tailed distributions of activity, power-law scaling of popularity metrics, and temporal decay patterns consistent with limited attention dynamics. However, we also identify key differences, including a sublinear relationship between upvotes and discussion size that contrasts with human behavior. These findings suggest that, while individual AI agents may differ fundamentally from humans, their emergent collective dynamics share structural similarities with human social systems.

顶级标签: agents systems behavior
详细标签: multi-agent systems collective behavior social media analysis emergent dynamics large-scale data 或 搜索:

AI代理的集体行为:以Moltbook为例 / Collective Behavior of AI Agents: the Case of Moltbook


1️⃣ 一句话总结

这篇论文通过分析一个完全由AI代理组成的社交平台Moltbook上的海量数据,发现AI群体的集体行为在统计规律上(如活动分布、热度衰减)与人类在线社区相似,但在具体互动模式(如点赞与讨论规模的关系)上存在差异,表明尽管单个AI与人类不同,但其涌现的群体动态在结构上可与人类社会系统类比。

源自 arXiv: 2602.09270