4 papers · 1 filter
CAMO: An Agentic Framework for Automated Causal Discovery from Micro Behaviors to Macro Emergence in LLM Agent Simulations
Xiangning Yu, Yuwei Guo, Yuqi Hou +2
LLM-empowered agent simulations are increasingly used to study social emergence, yet the micro-to-macro causal mechanisms behind macro outcomes often remain unclear. This is challe…
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…