Intermediate · Research
Artificial immune system (AIS)
Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.
TL;DR. AI systems inspired by biological immune systems to solve problems.
Technical Definition
AI systems inspired by biological immune systems to solve problems.
How it works
Artificial Immune Systems (AIS) are a class of computational intelligence systems that mimic the principles of the biological immune system. They leverage concepts like learning, memory, and self-recognition to detect anomalies, learn from data, and solve complex problems. AIS are particularly useful in areas like cybersecurity, fault detection, and data mining.
Related Concepts
- Machine Learning — A field of AI where systems learn patterns from data instead of following hard-coded rules.
- Computational intelligence (CI) — AI methods inspired by nature, focusing on learning from data and experimental observation.
- Anomaly detection — Anomaly detection identifies unusual data points that deviate significantly from the expected pattern.