8 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 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 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 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…