International Journal of Swarm Intelligence and Evolutionary Computation

Abstract

Swarm Intelligence as Muse: Inspiring Novel Architectures and Paradigms Beyond Centralized Artificial Intelligence

Alan Bergmann

Traditional Artificial Intelligence architectures have often been characterized by a reliance on centralized control, with complex algorithms executed by a single, powerful processing unit. While this approach has yielded significant advancements, it can also lead to limitations in terms of fault tolerance, scalability, and adaptability, particularly when dealing with highly dynamic and distributed environments. Swarm Intelligence offers a compelling alternative paradigm, drawing inspiration from the decentralized and self-organizing principles observed in natural swarms to inspire the development of novel AI architectures that move beyond the constraints of centralized control.

Published Date: 2025-03-14; Received Date: 2025-02-12