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Kinda agree. Training the network with RL instead and penalizing collisions and rewarding collecting something like food would be interesting.

As long as the birds can't change direction too quickly (e.g. output acceleration, not velocity) I'd guess you get flocking.

I agree that this would be a more interesting approach; I think you might need more incentives to create a flock though (aerodynamic benefits, predator protection, etc.)

Awesome idea!

based on the article the noida approach has better performance and is able to run on a GPU while the Sterling implementation must run on a cpu.

Potentially though there's nothing stopping someone from writing the original three rules using cuda

What happens when you want to simulate millions of rules?

What if they weren't noids?

Yeah, this is well presented slop.

Thanks!