simple communication model - v2

How much data can you derive from a this simple system? 2 pixels. 2 states. communication. center panel is a visualization of the interaction between left and right pixel. When both pixels are the same, a pixel of their colour is output. The pixel decreases in size depending on how many times it takes for both to be the same. Behind it is a coloured square. (more of the coloured square is revealed when there is miscommunication).

run the code.

This becomes a visualization model, not only of simple, realized communication, but also missed communication.

This simple probablistic ruleset is being used to reconstruct a panel in my 2d screen. If this ruleset can be extended to the screen, where else can it be applied? What other models can it build?

If you map the 2d screen onto a cylider, you have a new dimension, a new space to work within.

Problems that I have with these images...
1. the colours need to go away. Any colour other than black and white have an arbitrary relationship to the system. They are usefull now in terms of seeing what is going on, but I ultimately need to get rid of them.
2. I'm also struggling with another assumption. I need some parameters that define the "space" within which this system is operating. Right now the starting point parameters is the screen. If I map it to a cylinder that is another decision. It would be interesting if I didn't have to make this decision, and the ruleset would be able to do it for me. These are more things that I am thinking about...

code (won't render because opengl)

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