quantaichi VS simoji

You should check out taichi: https://github.com/taichi-dev/taichi They have a ton of great demos for doing physics but check out this example in particular for something related to your project: https://github.com/taichi-dev/quantaichi#game-of-life-gol. (Taichi also makes it super easy to write things for the GPU and the kernels are differentiable :).)

Advanced features of Taichi include spatially sparse computing, differentiable programming [examples], and quantized computation.

I built Ohayo (https://ohayo.computer/) and Simoji (https://simoji.pub/) which are 2 more examples of the technology in action.

This is really interesting. Have you thought about a GUI for dummies?

I wanted to do something like this, but I approached from a different angle of GUI first (https://simoji.pub/#simoji%0A%20question%20What%20is%20the%2...).

I obviously don't have the faintest clue about the actual algos at work in an exchange simulator. I'm more of a CSS guy. Drop me an email ([email protected]) if you ever want to chat.

Interesting! This makes sense to me.

I'm new to physics engines—I just started figuring out how to upgrade my simple grid cellular automata engine to a 2D engine for my toy sim tool (https://github.com/breck7/simoji)—and have been surprised by existing implementations, because it just seems not how the universe actually computes. I had not seen PBD before and it seems to be a closer model.

This is my first simulation engine I've built, and obviously is very early (just a few days in). Source code is here: https://github.com/publicdomaincompany/simoji I plan to add monte carlos, sensitivity analysis, and explore prior art like NetLogo and GAMA and see what else I'm missing. I think it might useful in my thinking and essay writing to have a quick and dirty way to build back of the envelope simulations. I'm trying to figure out the essence of Agent Based Simulations and build a minimal DSL for that domain. Sharing even though it's pretty bad, just in case there are folks with complementary skillsets who might want to talk more.