10 citations · 19 across the 9 of their papers we have counts for
11 papers
CONCAT: Consensus- and Confidence-Driven Ad Hoc Teaming for Efficient LLM-Based Multi-Agent Systems
Ziyang Ma, Dingyi Zhang, Sichu Liang +4
Although large language model (LLM) based multi-agent systems (MAS) show their capability to solve complex tasks and achieve higher performance over single agent systems, they lead…
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…
From Agent Simulation to Social Simulator: A Comprehensive Review (Part 2)
Xiao Xue, Deyu Zhou, Ming Zhang +2
The study of system complexity primarily has two objectives: to explore underlying patterns and to develop theoretical explanations. Pattern exploration seeks to clarify the mechan…
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…
From Agent Simulation to Social Simulator: A Comprehensive Review (Part 1)
Xiao Xue, Deyu Zhou, Ming Zhang +1
This is the first part of the comprehensive review, focusing on the historical development of Agent-Based Modeling (ABM) and its classic cases. It begins by discussing the developm…
LLM-empowered Agents Simulation Framework for Scenario Generation in Service Ecosystem Governance
Deyu Zhou, Yuqi Hou, Xiao Xue +3
As the social environment is growing more complex and collaboration is deepening, factors affecting the healthy development of service ecosystem are constantly changing and diverse…
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…
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…
Computational Experiments: Past, Present and Future
Xiao Xue, Xiang-Ning Yu, De-Yu Zhou +3
Powered by advanced information technology, more and more complex systems are exhibiting characteristics of the Cyber-Physical-Social Systems (CPSS). Understanding the mechanism of…
Value driven Analysis Framework of Service Ecosystem Evolution Mechanism
Xiao Xue, Deyu Zhou, Yaodan Guo +3
With the development of cloud computing, service computing, IoT(Internet of Things) and mobile Internet, the diversity and sociality of services are increasingly apparent. To meet…