Exploring “The Multiplicity Effect” in cellular automata!
My new experiments reveal what happens when we scale from classical one to 2, 3, 4, or 5 initial points across different grid positions. Rules creates particularly mesmerizing patterns when using multicolor palettes.
Exploring cellular automata with seeds in bottom quadrants has revealed some stunning results! Certain rules created mountain formations with beautiful reflection effects.
I am surprised how gradient colors transform these simple rules into dynamic landscapes.
Most textbook examples use somewhat boring monochrome visuals for Cellular Automata. In a series of posts, I’m exploring how to bring these lifelike systems to life through color. Here's the first one, where I experiment with color gradients to paint evolving landscapes.
One from the archives (2018): A live recording made from only two samples, using generative sequencing (using my own tools) and probably the (by far!) most amount of effects, layers & signal chains I've ever used on a track... Granular synthesis, time stretching/slicing, resonators, filters, erosion... it gets pretty wild & textured from ~2:30 once the cellular automatas controlling various granular synth params had a bit of tantrum for a minute or so... :)
Always wanted to hear that on a large PA. Some of the sounds almost remind me of the high voltage zapps produced by tesla coils...
The samples:
1) A needle skipping on a dusty vinyl record
2) An (unintelligible) voice-like AI sample...
More artificial life/CA
#cellularautomata
#artificialintelligence
#gameoflife
#ai
#artificiallife
Today I’ve embraced my latest hyperfixation: #CellularAutomata, specifically #ConwaysGameOfLife!
I’ve heard of it but never got into it until recently. I’m still learning all the terminologies, but it’s amazing what people can come up with.
Here’s a pattern I found just now, which I’ll name Dudley since it looks like the word “DUD”. These 21 pixels animate until the 1,279th generation, where it settles on 232 pixels. This will entertain me for months 
Number-conserving cellular automata can be thought as simulating particle systems, like grains of sand or cars in a street.
I have just placed a text about one-dimensional number-conserving cellular automata into the arXiv (https://arxiv.org/abs/2308.00060). It is a kind of sequel to an earlier paper, in which I had derived a general construction scheme for all such automata. But a lot of things are still unknown, and the theory of such automata looks quite interesting. In my new paper I prove some new theorems, describe how to simulate the automata on a computer and how to find interesting rules, and I show images of a few rules I have found this way. Comments are welcome!
