Perceptron

A perceptron is one of the earliest neural network models, a single artificial neuron that learns a linear boundary to separate inputs into two classes. It is the building block of multilayer networks.

Perceptron sits in the Foundations part of the Agentik {OS} glossary, which defines the words used to build and run AI agent systems.

Also called Multilayer perceptron, MLP.