Swarm Intelligence

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Swarm intelligence is inspired by how groups in nature behave, such as ant colonies, bird flocks, or fish schools. It looks at how many simple agents, each following basic local rules, can create complex and coordinated behavior when they interact. Even though each agent has limited abilities and only sees a small part of the world, the group as a whole can explore large areas and stay reliable even if some agents fail.

In artificial systems, swarm intelligence is used for tasks like distributed optimization and group decision-making. The same ideas guide fleets of robots or drones that work together on tasks such as mapping an area or providing coverage. Since no central controller is directing the group, the focus is on designing local rules and communication patterns that lead to useful group behavior. Swarm intelligence is related to multi-agent systems but places more emphasis on the collective behavior that emerges from simple individual actions.

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