When Do Multi-Agent Systems Help? An Information Bottleneck Perspective
Researchers have introduced a framework using information bottleneck theory to analyze why multi-agent systems sometimes outperform single-agent configurations. By quantifying the trade-offs between information sharing and task complexity, the study aims to clarify the conditions under which coordinating multiple AI agents provides a measurable performance benefit.
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- AarXiv CS.AI↗Wendi Yu, Lianhao Zhou, Xiangjue Dong, Sai Sudarshan Barath, Declan Staunton, Byung-Jun Yoon, Xiaoning Qian, James Caverlee, Shuiwang Ji1d ago