International Journal of Swarm Intelligence and Evolutionary Computation

Abstract

The Biological Inspiration: Swarm Intelligence as a Bridge Between Natural and Artificial Intelligence

Han Soo

Swarm Intelligence serves as a bridge between the study of natural intelligence and the development of Artificial Intelligence. SI algorithms are explicitly inspired by the collective behaviors of social insects, bird flocks, fish schools, and other natural systems. These natural systems have evolved over millions of years to solve complex problems in their respective environments, demonstrating remarkable efficiency, robustness, and adaptability. By studying these natural systems, researchers gain insights into the fundamental principles that underlie collective intelligence, such as decentralized control, local interaction, and self-organization. These principles can then be translated into computational models and algorithms that can be used to solve complex problems in AI. This perspective highlights the close relationship between biology and AI, and the potential for each field to inform and enrich the other.

Published Date: 2025-05-19; Received Date: 2025-04-18