AINeutralarXiv – CS AI · Jun 17/10
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Structured interactions improve distributed coordination beyond model scaling in a real-world multi-robot system
Researchers demonstrate that restructuring communication topology in multi-robot systems yields significantly larger performance improvements than scaling individual model sizes, with hierarchical interaction design improving performance by 47 points versus 9 points from doubling neural network capacity. This finding challenges the conventional focus on model scaling in AI systems and suggests interaction architecture may be equally or more critical for coordinated multi-agent performance.