For some reason this sounded to me slightly like filter-width/domain aware sampling vs point-sampling of inputs when resampling or translating information. When

For some reason this sounded to me slightly like filter-width/domain aware sampling vs point-sampling of inputs when resampling or translating information. When you said 'calculus' it made me think of it this way.. and actually I personally think that one can apply the principles of anti-aliasing (of signals when sampling or translating them) to everyday life.. ie: AA, IRL! Probably sounds strange but to me, AA IRL is still a simple concept about preserving as much of the original signal in the target domain, even when changing sampling or representations from the source domain. I just think it is also a very interesting and relevant/applicable way to think about various aspects of human life too! Seems to me like since various information is moving around, it would be good to choose the appropriate AA strategy based on the context's input and output filter domains! (At least as far as one can control this!) Yes, AA IRL is certainly a bit of a fanciful idea (humans are not shaders/etc) but I think it's still a very interesting way to conceptualize things, and would love for HN to tear it to pieces some time!