[ot][random][crazy][spam] Out of it, Video Game Design Project

Undiscussed Horrific Abuse, One Victim of Many gmkarl at gmail.com
Sat Feb 12 12:34:03 PST 2022


Futzing around thinking of distribution trees.

class UniformValue:
  min: float
  max: float

UniformValue(1, 2) + UniformValue(0, 4)

Now we're back in probability again.

If we use uniform distributions, then summing them will sum their range,
but the output won't be uniform any more ... it'll be uh ... (websearches
..) an Irwin-Hall distribution? regardless it's a function that can be
looked up.

So say we have an Irwin-Hall distribution from 0 to 6 with specific PDF and
CDF.  And suddenly we know that its value is 3.

UniformValue(1, 2) + UniformValue(0, 4) == 3

I don't know probability, but there must be some way to give new
distributions here. Basically the two values completely depend on each
other.  I guess it simplifies to:

UniformValue(1,2) + Dependent_Value == 3 .

Is this a ridiculous avenue? Or is this easily generalisable?
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