Swarm Intelligence: Nature-Inspired AI for Autonomous Systems

Abstract

Swarm intelligence, inspired by collective behaviors observed in nature, is revolutionizing the development of autonomous AI systems. This paper explores the application of swarm intelligence in robotics, smart transportation, and decentralized computing. We discuss key algorithms such as ant colony optimization, particle swarm optimization, and bio-inspired computing. The challenges of scalability, coordination, and security in swarm-based AI systems are also analyzed. Our research highlights how swarm intelligence is enabling more adaptive, resilient, and efficient autonomous technologies.