The primary project we are working on is Ravens Progressive Matrices.
I have tons of ideas, and approaches. I'll talk about one that I'm experimenting with (and have no idea if it'll work).
One thought that crossed my mind was what if i could think of these problems as a time relationship. Could I apply a Fast Fourier Transform (FFT)? Well I am giving it a shot.
First I took a line by line reading of the image, then layed it end to end. So in a way you have a all kinds of crazy waveform.
Next I used numpy to convert to the Power Domain using numpy.fft.fft(array).
I'm not much further than this, but I did try dividing A by B and A by C and graphing these ratios along with inverse FFT'ing.
I thought the graphs looked really neat. So I am going to leave a few here for your enjoyment.
Which by the way I should note, I have no idea what I'm doing here, it's experimentation and who knows if these graphs are even logical, but they're cool looking.