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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…