collaborators

7 papers

cs.MA2026

Heterogeneous Multi-Agent Modeling for Measurement and Network Analysis of the Data Service Market

Deyu Zhou, Yuwei Guo, Xudong Lu +3

With the increasing complexity of collaboration among various social entities and user demands, the factors affecting the stable development of the data service market are also gro…

cs.AI2026

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…

cs.CL2026

AgentSPEX: An Agent SPecification and EXecution Language

Pengcheng Wang, Jerry Huang, Jiarui Yao +7

Language-model agent systems commonly rely on reactive prompting, in which a single instruction guides the model through an open-ended sequence of reasoning and tool-use steps, lea…

cs.HC2025

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…

cs.AI2025

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.…

cs.MA2025

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…

cs.AI2025

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…