AI Horizon: Perceptrons - Basic Neural Networking

The main feature of perceptrons is that they can be trained (or learn) to behave a certain way. One popular beginner's assignment is to have a perceptron model (that is, learn to be) a basic boolean function such as AND or OR. Perceptron learning is guided, that is, you have to have something that the perceptron can imitate. So, the perceptron learns like this: it produces an output, compares the output to what the output should be, and then adjusts itself a little bit. After repeating this cycle enough times, the perceptron will have converged (a technical name for learned) to the correct behavior much like a child learns new words like glriber.