Swarm Intelligence

Swarm intelligence is a branch of artificial intelligence inspired by the collective behaviour of decentralized, self-organised systems in nature, such as ant colonies, bee swarms, bird flocks, and fish schools. Algorithms like particle swarm optimisation, ant colony optimisation, and the bees algorithm solve complex optimisation problems by simulating simple agents that interact locally and converge on effective solutions through emergent group behaviour. These techniques excel in combinatorial optimisation, routing problems, and scheduling tasks where traditional approaches struggle with the vast search space. Swarm intelligence has practical applications in telecommunications network routing, robotic coordination, and supply chain optimisation. The field connects to multi-agent reinforcement learning and provides heuristic-based approaches that complement gradient-based machine learning methods. Recent research explores applying swarm principles to coordinate multiple AI agents in agentic AI systems for collaborative problem-solving.