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

[Undiscussed Horrific Abuse, One Victim of Many]

Let's see if I can simplify these ideas. Do they make a good bullet point
to later pursue implementing?

Parts
- tracking simulated agents is transformable to tracking trees of
probability distributions, choice processes, or simulation processes
- in a simple example, if everything is a sum of uniform distributions, a
possible state can be found by solving for the widest distribution in an
equation, based on sampling the others. this is simple subtraction, but
likely produces an incorrect output distribution and should be treated as a
heuristic.

so each agent has a function that calculates state at a time point

I came up with a class of agent where state is decided based on discrete
difference from previous state, using uniform distributions

the proposal is to make a uniform distribution class that produces trees
when summed. these trees can then sample their state given constraints on
some of their operands.

it's still big for a bullet point, but sounds meaningful to pursue.
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