Artificial Immune Systems

Artificial Immune Systems (AIS) are computational methods inspired by the biological immune system. They mimic how the body detects and fights pathogens by recognizing and responding to unfamiliar or harmful elements. In technology, AIS are used for tasks like pattern recognition, anomaly detection, and optimization by creating algorithms that can adapt, learn, and improve over time. They provide a flexible way to solve complex problems by leveraging principles such as immune learning, adaptation, and memory, making them useful in fields like cybersecurity, data analysis, and fault detection.