研究探讨添加更多智能体是否提升多智能体系统性能。结论指出,最优智能体数量取决于基础模型的能力和任务类型,而非单纯增加数量。集体智能更可能源于精心的交互设计,而非智能体数量的增多。相关论文:"Scaling Behavior of Single LLM-Driven Multi-Agent Systems"。
// Scaling Behavior of Single LLM-Driven Multi-Agent Systems //
Does adding more agents actually make a multi-agent system better?
It's possible that collective intelligence emerges from interaction design rather than from agent plurality.
This is something important to understand if you are building multi-agent systems.
This new study reports that the optimal number of agents depends on the base model's capability and the task type, not on adding more of them.
Paper: https://arxiv.org/abs/2606.00655
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