일시: 2026. 3. 24. (화요일), 오전 10시 30분~

장소: 제4공학관 D405호

Speaker: Geon Lee(이 건), Ph.D. / Research fellow at KAIST

Title: Understanding Complex Interaction Systems with AI: From Human Networks to AI Agent Societies

Abstract:
Complex interaction systems arise in many domains, including human collaboration networks and emerging society of AI agents. Understanding the structural and behavioral principles behind these systems is important for both scientific insight and practical applications. In this talk, I present a line of research on understanding complex interaction networks using AI. First, I discuss machine learning models that reveal the underlying mechanisms of human interaction networks. Next, I introduce recent work that leverages large language models to automatically discover relational structures from data. Finally, I disucss the emergence of AI agent societies and the new questions they raise about autonomy, governence, and collective behavior. Together, these directions illustrate how AI can both help us understand complex interaction systems and become an active partifipant within them.

Bio:
Geon Lee is a research fellow at KAIST. He received his Ph.D. in Artificial Intelligence from KAIST advised by Prof. Kijung Shin. He was awarded the Ph.D. Dissertation Award from the College of Engineering at KAIST. During his Ph.D., he interned at Snap Research, NEC Labs America, and Amazon. His research focuses on data mining and machine learning for complex interaction systems, with particular interests in graph mining and learning, recommender and retrieval systems, and AI-driven network analysis.