Swarm intelligence works based on simple rules followed by individual agents and the local interactions between them. Despite the simplicity of each agent, the collective behavior of the swarm can solve complex tasks. Key principles include:
Self-organization: Agents operate based on local information without central control. Decentralization: Decisions are made locally, enhancing robustness and flexibility. Emergence: Complex patterns and behaviors emerge from simple interactions.
