The 1st Workshop on LLM Agents for Social Simulation

ACM International Conference on Information and Knowledge Management (CIKM), pp. 6933–6936

Abstract

Social simulation has long played a crucial role in exploring the mechanisms underlying human behavior and societal structures. Traditional social simulation relies on rule-based or statistical models, which makes it difficult to capture the complexity and variability of the real world. With the emergence and rapid development of large language model (LLM), new frontiers have been opened toward leveraging LLMs as agent to model human behavior and interactions. This cutting-edge direction has gained significant attention and demonstrated promising results, not only advancing research across a wide range of social science disciplines, but also enabling practical applications in role-playing scenarios. However, this field still faces multiple challenges, such as capturing real-world social phenomena, eliminating bias or ethical considerations, and ensuring usability and reliability. This workshop on LLM Agent for Social Simulation (LASS) aims to bring together researchers and practitioners from diverse backgrounds to foster interdisciplinary collaboration, address key challenges, explore new technologies, and chart promising future directions in this rapidly evolving field.

Authors 9

1. Yige Yuan

   Chinese Academy of Sciences · Institute of Computing Technology

   Affiliation as printed

   Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

2. Bingbing Xu

   Chinese Academy of Sciences · Institute of Computing Technology

   Affiliation as printed

   Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

3. Liang Pang

   Chinese Academy of Sciences · Institute of Computing Technology

   Affiliation as printed

   Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

4. Du Su

   Chinese Academy of Sciences · Institute of Computing Technology

   Affiliation as printed

   Institute of Computing Technology, Chinese Academy of Sciences, Beijing, IL, USA

5. An Zhang

   University of Science and Technology of China

   Affiliation as printed

   School of Information Science and Technology, University of Science and Technology of China, Hefei, China

6. Teng Xiao

   University of Washington · Allen Institute for Artificial Intelligence

   Affiliation as printed

   Allen Institute for AI & University of Washington, Seattle, USA

7. Fengli Xu

   Tsinghua University

   Affiliation as printed

   Electronic Engineering, Tsinghua University, Beijing, China

8. Zhaochun Ren Aachen

   Leiden University

   Affiliation as printed

   Leiden University, Leiden, Netherlands

9. Xu Chen

   Renmin University of China

   Affiliation as printed

   Renmin University of China, Beijing, China