Conversation

Replying to
If you start to “represent knowledge,” you inevitably fall into predicate calculus, a supermassive galactic attractor. In which case “reasoning” is logical deduction. Which… almost never works. Probability theory sometimes works, but *most* uncertainty doesn’t work like that.
Image
3
29
Project: a list of rationalist pit-traps, with a brief explanation the circumstances in which each works in practice. • Decision theory • Function approximation • Objective-function maximization • State-space search • Kalman filters • … add your favorite here?
7
42
This Tweet was deleted by the Tweet author. Learn more
Yes! I was pretty much subtweeting that via Kalman filters, which are the underlying math for the predictive processing theory, to the extent that it has any, as far as I can tell.
1
Replying to and
Hmm unless the search function is broken, the only mention of 'Kalman' in my copy of Surfing Uncertainty is a single footnote where it's mentioned that predictive processing 'has common ground with' Kalman filtering, so it doesn't sound like Kalman filters would be used in PP.
Image
3
1
Replying to and
Thanks, yeah, I was being vague. Kalman filters are optimal for the thing they are optimal for, and then there’s various broader classes of problems for which analogous things are provably optimal (?), and you’d like a strong result for a very broad class that isn’t done…
2
1
Show replies