An LLM-enhanced Agent-based Simulation Tool for Information Propagation

An LLM-enhanced Agent-based Simulation Tool for Information Propagation

Yuxuan Hu, Gemju Sherpa, Lan Zhang, Weihua Li, Quan Bai, Yijun Wang, Xiaodan Wang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence
Demo Track. Pages 8679-8682. https://doi.org/10.24963/ijcai.2024/1007

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.
Keywords:
Agent-based and Multi-agent Systems: MAS: Agent-based simulation and emergence
Agent-based and Multi-agent Systems: MAS: Agent communication
Agent-based and Multi-agent Systems: MAS: Agent societies
Agent-based and Multi-agent Systems: MAS: Agent theories and models