User Behavior Simulation with Large Language Model based Agents
Lei Wang Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China Jingsen Zhang Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China Hao Yang Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China Zhi-Yuan Chen Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China Jiakai Tang Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China Zeyu Zhang Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China Xu Chen Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China Yankai Lin Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China Hao Sun Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China Ruihua Song Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China Wayne Xin Zhao Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China Jun Xu Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China Zhicheng Dou Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China Jun Wang University College London, London, UK Ji-Rong Wen Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China
Abstract
Simulating high quality user behavior data has always been a fundamental problem in human-centered applications, where the major difficulty originates from the intricate mechanism of human decision process. Recently, substantial evidences have suggested that by learning huge amounts of web knowledge, large language models (LLMs) can achieve human-like intelligence. We believe these models can provide significant opportunities to more believable user behavior simulation. To inspire such direction, we propose an LLM-based agent framework and design a sandbox environment to simulate real user behaviors. Based on extensive experiments, we find that the simulated behaviors of our method are very close to the ones of real humans. Concerning potential applications, we simulate and study two social phenomenons including (1) information cocoons and (2) user conformity behaviors. This research provides novel simulation paradigms for human-centered applications.
原文 arXiv:2306.02552;中英对照 + 大白话阅读 https://aha.fim.ai/paper/2306.02552v3