Team: 44
School: La Cueva High
Area of Science: Compter Science
Interim: I think it's interesting to see how different types of learning could be used because one type doesn’t necessarily fit all. A lot of time ideas such as in math or art are taught in a traditional way, while there are also other ways to understand. I have started making programs related to “intuition†or instinct about certain ideas. Intuition is used often in real life to make judgments, and people can understand things with intuition such as patterns.
I’ve worked on a math aspect where the user doesn’t need any words or explanation to learn some type of math. I’ve made a program based on cellular automata. The user sees a row of blocks with the blocks being different colors. Then they have to enter the right color in the right part to go to the next row. It's based on patterns, such as if two blocks are one color, in the row down the next block would be a different color. It is very interesting how when Pascal’s triangle is written in binary it makes Sierpinski’s triangle. When there are two different colors the resulting block is one color, when they are the same they are a different color. I’m going to add other parts of math to the math aspect. I am thinking of something relating to probability or big math concepts taught in school. I could also have a related art aspect, such as some color theory, which I think would be relatively easy to do.
I've also started on a rock-paper-scissors game. The user tries to predict what the program will do. When the program makes a decision there will be a higher chance of an outcome with the next decision the program will make. For example, if the program chooses rock and the user chooses paper, the program might be 60% likely to choose rock again. The goal of the game would be to win more than â…“ of the time before a certain amount of rounds.
There could also be another rock paper scissors game, one where the program tries to win against the user. I could use a classification program from Wolfram Mathematica to take in the user's decisions and then to try to predict what the user would do and then counter that. The goal of this game would be to not to lose more than â…“ of the time.
I’m planning to have people from online use my app/ program and then the data from the programs could be collected. I am thinking I could get around 100 people to try my program out online if I make an online survey. In general, I think it would be very interesting to see if AI programs could figure out a human pattern relatively quickly, vice versa if a user could figure out the program’s pattern intuitively, and if simple intuitive math programs could be effective.
Team Members:
Sponsoring Teacher: Jeremy Jensen