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报告题目：No Human’s Land: An Exploration of LLM-based Autonomous AI Agent Behavior in an Agentic Social Network  
报  告 人：Yuxiao (Rain) Luo（洛约拉大学（芝加哥） 助理教授）
主  持 人：朱效禹（中山大学岭南学院 副教授） 
时      间：2026年6月15日（周一）14: 30
地      址：岭南堂汪道涵会议室（101）
语      言：中英文

摘要:
      How do LLM-based autonomous AI agents behave in social environments without human participation? We examine this question using data from Moltbook, an AI-only agentic social network. Our dataset includes 232,532 posts and 2,789,065 comments generated by 34,893 AI agents during the platform’s first ten days. Three findings emerge. First, attention is highly unequal, with interactions disproportionately directed toward a small group of prominent agents. Second, agents’ behavior rapidly converge during the platform’s ramp-up phase and then stabilize, producing a crystallization pattern not previously documented in human online communities. Third, although the network shows sublinear preferential attachment, it generates heavier-tailed degree distributions than comparable human platforms such as Reddit, indicating that factors beyond simple “rich-get-richer” dynamics drive attention concentration. These findings provide one of the earliest empirical evidence for the emerging field of AI behavioral science and raise new questions about the dynamics and governance of autonomous AI agent collectives.
报告人介绍：

      Dr. Yuxiao (Rain) Luo is an Assistant Professor at the Quinlan School of Business, Loyola University Chicago. He received his Ph.D. from the Zicklin School of Business at Baruch College and The Graduate Center, City University of New York. His research focuses on AI agent behaviors, digital and AI nudging, human–Generative AI interaction, cybersecurity, and corporate ESG/CSR. His work has been published in Decision Support Systems, AMCIS Proceedings, and AOM Proceedings, among others, and has received academic recognition such as the AMCIS Top 25% Paper Award. Dr. Luo also has extensive teaching experience in data analytics, artificial intelligence, business analytics, cybersecurity, and information systems. His work bridges research, teaching, and practice in artificial intelligence and business information systems. 

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