👉 Fish computing, also known as swarm intelligence or collective computation, is a concept inspired by the decentralized, self-organized behavior of fish schools. This computational model mimics how fish navigate and make decisions by following simple rules based on local interactions with their neighbors. Each fish responds to the movements and positions of nearby fish, creating a dynamic, adaptive group behavior that emerges from these local interactions. This approach allows the entire school to exhibit complex patterns and problem-solving capabilities, such as finding food sources, avoiding predators, and maintaining cohesion, without any central control or leader. The principles of fish computing have inspired algorithms in various fields, including robotics, optimization problems, and distributed computing, demonstrating the power of decentralized, collective intelligence.
