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In cases like this and many other cases i feel like the purpose of the machine learning algorithm should be to find a simplified polynomial function. I remember reading a paper in which an “AI physicist” was created and it would reduce complex machine learning models into simple equations that would explain the physics of a simulation. It would reduce the complex simulation into human readable and potentially more useful and predictive “laws” of physics.



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