Exploring Generated Data

For every simulator game that is played, the data of that game is stored in a particular manner, and in this section, we'll discuss that data in detail.

In the previous section, we discussed how the stimulator is coded and how the game is played the rules, and everything related to the IntuitiveAI stimulator. If you have played with the stimulator you understand how it works and we now have three main goals that we will be solving in the experiments with dataset section but will discuss the theory part here.

With the data, we have three goals in mind. When we explore the dataset you are required to keep these three goals in mind:

1. Predict the first box user will open when they start a new game.

2. Predict the next box use will open at any given position in a game

3. Predict the overall outcome of a game

4. Predicting if a game is won or lost using intuition or calculated moves

To elaborate on number 4, we use UserGamePlayPattern and see if there is a big jump we can say that it was intuition-based as the user took a risk.

The goal is to present the data first. I wanted to create a visualization that is more or less like the image below: