The 36 Points is part of Sage Jenson's visualization of Jeff Jones' "Artificial Nature" research, which pioneered many of these reaction-diffusion and agent-based models for simulating emergent biological phenomena.
I did something very similar some years ago while learning metal [1], I recall them being called "boids". I spent days just playing with the various parameters, luckily my implementation was not as pretty as the one offered in the OP, otherwise I would have lost weeks instead.
The original boids, or "bird-oid objects", was an algorithm and program to simulate emergent flocking behaviour from simple rules in birds. It has spawned a kind of genre, or at least a multitude of copies/derivatives, often collectively referred to as "boids".
I've been vibe coding boids implementations because my toddler likes to look at them. Here's one where the attributes of the boids (alignment, etc) are hooked up to frequency generators like a sequencer: https://neuroky.me/boidsine.html?boidCount=1700&hue=sine3&se...
I can move them to GitHub or something, but they are currently hosted in my pantry. Please be gentle :)
The same author has a great series of tutorials for making looping animations, where the animation appears longer than the length of the loop. It also introduces Perlin noise, which I've found quite useful in a few unrelated projects.
Very nice. It seems some of the algorithms are (inadvertently?) solving the shallow water equations. Looks similar to the results I was getting working on https://github.com/Ono-Sendai/terraingen
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