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// Survey on Multi-Agent Systems // The paper traces the landscape from classical paradigms (consensus, distributed control, swarm intellige…
// Survey on Multi-Agent Systems // The paper traces the landscape from classical paradigms (consensus, distributed control, swarm intelligence, cooperative learning) to foundation-model-enabled MAS (
// Survey on Multi-Agent Systems // The paper traces the landscape from classical paradigms (consensus, distributed control, swarm intelligence, cooperative learning) to foundation-model-enabled MAS (LLM-based planning, role specialization, task decomposition, multi-modal coordination). It highlights the hard open problems that neither camp has solved on its own: scalability in heterogeneous systems, alignment across agent collectives, efficient knowledge transfer, and real-time adaptation. Paper: https://arxiv.org/abs/2604.18133 Learn to build effective AI agents in our academy: https://academy.dair.ai/
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Source: DAIR.AI (X) | 2026-04-21