Schelling vs Demoscene, a thread against toy social models.
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It seems like there are plenty of empirical phenomena in nature that can be willingly compressed to a square grid—without much loss in what you're trying to communicate. Do you think principles learned from the reduced models generally *cannot* be mapped back onto the real world?
Herd immunity maps somewhat to binary, based on well understood and measured infection vectors. But the real model includes evolving germs in a living population with variable individual immunity. Simulations will still be entirely driven by the exact interactions modeled.
I think approaches that lack the basic salient features of the agents being modeled are the main problem and don't give you anything credible. The extension from "a metric designed to imitate X" to "how humans do X" is entirely speculative without in depth study.
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