10 citations · 10 across the 3 of their papers we have counts for
5 papers
From Script to Stage: Automating Experimental Design for Social Simulations with LLMs
Yuwei Guo, Zihan Zhao, Xiaowei Liu +2
Multi-agent simulation based on LLMs has increasingly emerged as a new paradigm for exploring complex social phenomena and validating theoretical hypotheses. However, traditional e…
Emotional Cognitive Modeling Framework with Desire-Driven Objective Optimization for LLM-empowered Agent in Social Simulation
Qun Ma, Xiao Xue, Xuwen Zhang +3
The advent of large language models (LLMs) has enabled agents to represent virtual humans in societal simulations, facilitating diverse interactions within complex social systems.…
An Explainable Emotion Alignment Framework for LLM-Empowered Agent in Metaverse Service Ecosystem
Qun Ma, Xiao Xue, Ming Zhang +2
Metaverse service is a product of the convergence between Metaverse and service systems, designed to address service-related challenges concerning digital avatars, digital twins, a…
A Framework for Analyzing Abnormal Emergence in Service Ecosystems Through LLM-based Agent Intention Mining
Yifan Shen, Zihan Zhao, Xiao Xue +4
With the rise of service computing, cloud computing, and IoT, service ecosystems are becoming increasingly complex. The intricate interactions among intelligent agents make abnorma…
Computational Experiments Meet Large Language Model Based Agents: A Survey and Perspective
Qun Ma, Xiao Xue, Deyu Zhou +9
Computational experiments have emerged as a valuable method for studying complex systems, involving the algorithmization of counterfactuals. However, accurately representing real s…