Simulating Human Society with Large Language Model Agents: City, Social Media, and Economic System

Chen Gao, Fengli Xu, Xu Chen, Xiang Wang, Xiangnan He, Yong Li

Abstract: This tutorial will delve into the fascinating realm of simulating human society using Large Language Model (LLM)-driven agents, exploring their applications in cities, social media, and economic systems. Through this tutorial, participants will gain insights into the integration of LLMs into human society simulation, providing a comprehensive understanding of how these models can accurately represent human interactions, decision-making processes, and societal dynamics from cities to social media and to economic systems. The tutorial will introduce the essential background, discuss the motivation and challenges, and elaborate on the recent advances.