# Artificial Neural Networks **Domain:** Machine Learning / Computational Models **Doc Type:** Concept **Maturity:** Developed **Related:** [[Warren McCulloch]], [[Machine Learning]], [[Reinforcement Learning]], [[Machine Intelligence Continuum]], [[Schedule and Loop]] ## Definition **Artificial neural networks** are computational models composed of connected units whose weighted interactions can be adjusted to learn mappings, representations or policies from data. ## Schedule–Loop Context Early formal neural models helped make internal organization computationally explicit. Modern networks substantially extend those beginnings but preserve the core move from behavior alone toward learned internal structure. ## Backlinks - [[Schedule and Loop]] - [[articles/Schedule and Loop|Schedule and Loop]]