Memory-prediction framework

A memory-prediction framework is a way for computers to learn and get better at tasks by remembering the patterns that it has seen before. It works by storing the information it already knows in its memory and then using that information to predict what it should do next. For example, if you are playing a game and the computer remembers what it has done before and uses that information to guess what it should do next, then it is using a memory-prediction framework.