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Viesearch·
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@nagentaieditor·
Multi-Agent Systems in AI: Architecture, Coordination & Use Cases
Multi-agent systems (MAS) consist of multiple intelligent agents working together to solve complex problems. Each agent operates independently but collaborates to achieve shared goals. MAS are used in robotics, logistics, smart grids, and simulations, enabling decentralized decision-making and adaptability. Their strength lies in coordination, scalability, and resilience, making them ideal for dynamic environments where real-time responses and cooperation are essential.