It’s great to see other people thinking and working on these ideas of efficiently eliciting preferences and very ‘subjective’ data, and building your own long-term decision support system! I’ve been pretty frustrated by the seeming lack of tooling for this.
Inspired partially by Gwern’s Resorter as well, I’ve started experimenting with my own version, except my goal is to end up with random variables for cardinal utilities (at least across various metrics), and I’m having the inputs for comparisons be quickly-drawn probability distributions.
It’s great to see other people thinking and working on these ideas of efficiently eliciting preferences and very ‘subjective’ data, and building your own long-term decision support system! I’ve been pretty frustrated by the seeming lack of tooling for this. Inspired partially by Gwern’s Resorter as well, I’ve started experimenting with my own version, except my goal is to end up with random variables for cardinal utilities (at least across various metrics), and I’m having the inputs for comparisons be quickly-drawn probability distributions.
Very interesting!
Could you explain the workflow?
Also, do you intend to make the code accessible?