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cs.MA2026

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…

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.MA2026

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…

cs.MA2025

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…

cs.MA2025

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…