IJCAI 2024poster3 citations
An LLM-enhanced Agent-based Simulation Tool for Information Propagation
Yuxuan Hu, Gemju Sherpa, Lan Zhang, Weihua Li, Quan Bai, Yijun Wang, Xiaodan Wang
Abstract
Influence diffusion models are used for simulating information propagation in social networks. While most existing influence diffusion models are probabilistic, the emergence of Large Language Model (LLM) sheds light on the language-level inferences and interactions of user agents. This paper presents an LLM-enhanced Agent-based Influence Diffusion model (LAID), and a web-based visualization tool, LAIDSim, for simulating the information propagation in social networks.
Agent-based and Multi-agent Systems: MAS: Agent-based simulation and emergenceAgent-based and Multi-agent Systems: MAS: Agent communicationAgent-based and Multi-agent Systems: MAS: Agent societiesAgent-based and Multi-agent Systems: MAS: Agent theories and models
BibTeX
@inproceedings{ijcai2024p1007,
title = {An LLM-enhanced Agent-based Simulation Tool for Information Propagation},
author = {Hu, Yuxuan and Sherpa, Gemju and Zhang, Lan and Li, Weihua and Bai, Quan and Wang, Yijun and Wang, Xiaodan},
booktitle = {Proceedings of the Thirty-Third International Joint Conference on
Artificial Intelligence, {IJCAI-24}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Kate Larson},
pages = {8679--8682},
year = {2024},
month = {8},
note = {Demo Track},
doi = {10.24963/ijcai.2024/1007},
url = {https://doi.org/10.24963/ijcai.2024/1007},
}