Swarm Intelligence and Multi-Agent Systems
Swarm Intelligence and Multi-Agent Systems represent advanced computational frameworks inspired by collective behavior in natural systems. Swarm Intelligence focuses on decentralized, self-organized problem-solving through simple agents interacting locally, leading to emergent global intelligence. Multi-Agent Systems involve multiple autonomous agents collaborating, coordinating, or competing to achieve complex tasks in dynamic environments. These paradigms enhance scalability, robustness, and flexibility in applications such as robotics, optimization, and distributed control. Leveraging principles like cooperation, adaptation, and decentralized decision-making, they offer powerful solutions for complex real-world challenges, fostering innovation in artificial intelligence, networked systems, and autonomous technologies.
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