One thing it gets close to: the notion that there can be two completely different & correct explanations for the same phenomenon.
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E.g., if the atoms in my arm are moving, I can explain the trajectory in terms of intermolecular forces, etc. Or I can explain it in terms of a friend is messaging, I'm picking up my phone, etc.
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Both explanations are extremely useful and in some sense correct, while being very different types of explanation.
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What I like about the car simulations is that (a) I can see the low-level physics; and (b) I can almost-but-not-quite see some higher-level principles at work, too.
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I suspect it'd be possible to find a visualization that showed the two levels of abstraction simultaneously. The current graphic isn't it, but it seems tantalizingly close.
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One of my pet peeves about introductory physics is students are told "objects in motion continue in that state of motion [unless an external force, usually friction in intro accounts, is applied]."
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In fact, lots of objects - notably, human beings - don't behave that way, & it's very informative to figure out why. The puzzle is to figure out how higher-order theories (human intent) can appear to override lower-level ones (Newton's laws).
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You forgot https://en.wikipedia.org/wiki/Particle_filter … , the isomorphism between Bayes theorem & fitness, raytracing, and variational interpretations of physics. :)
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There's many examples of the phenomenon I'm talking about, though I don't think any of your examples fit the bill. (I'm not familiar with Thompson sampling, though.) I'm curious at being able to see the connection between different layers of abstraction, and how they resolve
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why is this called "1K Project” and not "Monte Carlo Grand Prix”?!
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