Crossover Now that mutation has been successfully implemented, it is time to start on crossover. This process will allow us to merge existing cells that score well, with other cells that score well. Hopefully this will produce better automata over time. Progress on crossover has been made, and currently the program can easily do the … Continue reading Crossover Errors and Scoring Edits 02/21/2018
Parsing Reading in the file requires parsing the outputted text back into something that the code can understand. Essentially, our image is a series of rules, most of which are stored in a dictionary. However, in the database they are stored in a string, so to read them back in each column in my database … Continue reading Mutation and Brief Survey Analysis 02/14/2018
Our survey is up and running! Now database management proceeds to occur. Databasing With new implementations, come new buttons in our GUI. Our Score button has been removed, scoring is now automated with export, an image does not leave the program without being scored. This leaves room for additional buttons View Cells: Which prints out … Continue reading Databasing Problems 02/09/2018
Survey and Final Metric Based on my two methods for judging an image I created a survey. It has two parts: Color The basis of the color theory has already been explained. In the survey, I address this by creating two color schemes and asking the participant to choose. One scheme rated poorly by the … Continue reading Student Survey 01/29/2018
This week has been a whirlwind, so much is getting done in bits and pieces that the end of the week was spent trying to finish things up and put it all together. The first thing that has to be done, was perfecting my scoring metric for the images, with the inclusion of shapes. Perfecting … Continue reading Colors, Shapes, and Database Starts 01/24/2018
Shape Identification Shape identification is in tip-top shape. The program can correctly identify squares, triangles, lines, and circles, including when they have been twisted in various directions. Realistically, the tested images will not be in this sort of environment. Rather, there might not be consistent shapes that can be identified. Here are two examples from … Continue reading Shape Identification and Aesthetic Metric 01/19/2018
Currently enjoying holidays with my family. More updates will come soon.