Interesting! I’m fascinated by the idea of a way to figure out the transitive relations via a “non-circular on average” assumption and might go hunt down the code to see how it works. I think humans (and likely dogs and maybe pigeons) have preference learning stuff that helps them remember and abstract early choices and early outcomes somehow, to bootstrap into skilled choosers pretty fast, but I’ve never really thought about the algorithms that might do this. It feels like stumbling across a whole potential microfield of cognitive science that I’ve never heard of before that is potentially important to friendliness research!
Interesting! I’m fascinated by the idea of a way to figure out the transitive relations via a “non-circular on average” assumption and might go hunt down the code to see how it works. I think humans (and likely dogs and maybe pigeons) have preference learning stuff that helps them remember and abstract early choices and early outcomes somehow, to bootstrap into skilled choosers pretty fast, but I’ve never really thought about the algorithms that might do this. It feels like stumbling across a whole potential microfield of cognitive science that I’ve never heard of before that is potentially important to friendliness research!
(I have sent the DM. Thanks <3)