when modeling a complex/not entirely understood system, probabilities may be a more effective framework.
Just as, if the output of a program were known before it was run, it probably wouldn’t need to be run, we don’t know what we’ll decide before we decide, though we do after, and we’re not sure how we could have predicted the outcome in advance.
I think
when modeling a complex/not entirely understood system, probabilities may be a more effective framework.
Just as, if the output of a program were known before it was run, it probably wouldn’t need to be run, we don’t know what we’ll decide before we decide, though we do after, and we’re not sure how we could have predicted the outcome in advance.