6 papers
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.…
A Survey on Agentic Service Ecosystems: Measurement, Analysis, and Optimization
Xuwen Zhang, Xiao Xue, Xia Xie +5
The Agentic Service Ecosystem consists of heterogeneous autonomous agents (e.g., intelligent machines, humans, and human-machine hybrid systems) that interact through resource exch…
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…
MLC-Agent: Cognitive Model based on Memory-Learning Collaboration in LLM Empowered Agent Simulation Environment
Ming Zhang, Yiling Xuan, Qun Ma +1
Many real-world systems, such as transportation systems, ecological systems, and Internet systems, are complex systems. As an important tool for studying complex systems, computati…
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…