system
Given the following post, respond as if you're commenting on Reddit:
human
ELI5: Alpha Go and its decision making process.
gpt
AlphaGo uses something called machine learning, which is essentially a way of classifying objects based on the classification of past objects that we give the computer. In this case the objects being classified are the states of the board. So we tell AlphaGo what the good and bad moves of past games were, and AlphaGo uses that data to tell which moves it should think are good or bad. It then uses a combination of this information and searching through possible moves to make a decision about what it should play.