S.

March 29
Chaos theory: playing around with complex systems. Both runs take a 200x200 picture of Mona Lisa as input, and play a sort-of game of life with the pixels. Top row, the rule is “find the most different neighbour (by euclidean distance in colorspace), take each of its components + 1, rolling over to 0 if more than 255”. Eventually (tens of thousands of generations) collapses into a stable pattern, as in top row right. Bottom row, the rule is “find the most different neighbour, take the next neighbour clockwise, take each of its components +/-1, reversing direction when you hit 0 or 255”. The image at bottom right is after a few minutes, but I left it running overnight (millions of generations) and it didn’t collapse and it looks aperiodic so far

Chaos theory: playing around with complex systems. Both runs take a 200x200 picture of Mona Lisa as input, and play a sort-of game of life with the pixels. Top row, the rule is “find the most different neighbour (by euclidean distance in colorspace), take each of its components + 1, rolling over to 0 if more than 255”. Eventually (tens of thousands of generations) collapses into a stable pattern, as in top row right. Bottom row, the rule is “find the most different neighbour, take the next neighbour clockwise, take each of its components +/-1, reversing direction when you hit 0 or 255”. The image at bottom right is after a few minutes, but I left it running overnight (millions of generations) and it didn’t collapse and it looks aperiodic so far