If you go back to the original L-systems paper, it is literally this same thing. They said "we want to simulate cell growth in plants", and they worked on rules until they got something that mirrored observations.
... then you have to get into hand-wavy territory of "well we have the same _order_ as the equation we would expect" (these are the statements like "it grows with r^2 just like equation X that we were expecting").
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But again I'm just not sure why this is interesting, unless the idea is just that nobody thought graphs could encode real-world things, so you have to convince them of that? I would think that was obvious but traditional disciplines do get set in their ways, so...
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... maybe that's just not true, and it is good that somebody is trying to convince people to look more seriously at graph encodings? I don't know. I don't actually _care_ about physics, so I suppose that may have something to do with it :P
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