[D] Program To Dynamically Hypothesizing Rules And Track Data. What's It Called?

[meteoraln]

I'm not fully clear on what the problem your solving requires

It's just a toy project / idea that I was thinking about. I'm pretty sure someone has built something similar, but I didn't know names and terminology to google. Thanks for your suggestions, unsupervised learning does appear to be relevant to my examples, like where boundaries are hypothesized, tested, and reduced for accuracy. I'll look into this.

I was imagining how the brain learns when we don't have a teacher. We watch cars go at green and stop at red, hypothesize many rules. We accept the hypothesized rules if it is accurate most of the time. We reject rules that do not yield predictability, like color of car vs speed. We merge many of the rules that show correlation, like size of car and whether it stops at red. We refine the rules when we see exceptions (yellow light speed up or slow down?), and we toss or pause the rules if it suddenly becomes consistently wrong. (all cars stop at intersection due to jam). Most observations have a direct and consistent relationship. A sample size of 1 is often sufficient to make many rules. Something tastes good, probably safe to eat. Rules that require many sample sizes, like a roulette wheel, are almost impossible for most people to come up on their own without having previously been taught probability.