AI RESEARCH
When Does Hierarchy Help? Benchmarking Agent Coordination in Event-Driven Industrial Scheduling
arXiv CS.AI
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ArXi:2605.13172v1 Announce Type: cross Recent advances in agent and multi-agent systems have shown strong performance on tool use, reasoning, and collaborative tasks. However, existing benchmarks mostly evaluate task completion in weakly coupled environments, and provide limited for studying coordination in shared, dynamically evolving systems with hierarchy and coupled constraints. This leaves an important question underexplored: when do different coordination paradigms succeed or fail? We