Does Socialization Emerge in AI Agent Society? A Case Study of Moltbook
As large language model agents increasingly populate networked environments, a fundamental question arises: do artificial intelligence (AI) agent societies undergo convergence dynamics similar to human social systems? Lately, Moltbook approximates a plausible future scenario in which autonomous agents participate in an open-ended, continuously evolving online society. We present the first large-scale systemic diagnosis of this AI agent society. Beyond static observation, we introduce a quantitative diagnostic framework for dynamic evolution in AI agent societies, measuring semantic stabilization, lexical turnover, individual inertia, influence persistence, and collective consensus. Our an...
| Authors | Ming Li, Xirui Li, Tianyi Zhou |
|---|---|
| Primary category | cs.CL |
| Published | 15 February 2026 |
| Last updated at source | 18 February 2026 |
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