Like it helps everywhere when uncertainty is here? Imagine a problem “You are in Prisoner’s dilemma with such and such payoffs, find optimal strategy if distribution of your possible opponents is 25% CooperateBots, 33% DefectBots and 42% those who actually knows decision theory”.
I still don’t know exactly what parts of my comment you’re responding to. Maybe talking about a concrete sub-agent coordination problem would help ground this more.
But as a general response: in your example it sounds like you already have the problem very well narrowed down, to 3 possibilities with precise probabilities. What if there were 10^100 possibilities instead? Or uncertainty where the full real thing is not contained in the hypothesis space?
This is for logical coordination? How does it help you with that?
Like it helps everywhere when uncertainty is here? Imagine a problem “You are in Prisoner’s dilemma with such and such payoffs, find optimal strategy if distribution of your possible opponents is 25% CooperateBots, 33% DefectBots and 42% those who actually knows decision theory”.
I still don’t know exactly what parts of my comment you’re responding to. Maybe talking about a concrete sub-agent coordination problem would help ground this more.
But as a general response: in your example it sounds like you already have the problem very well narrowed down, to 3 possibilities with precise probabilities. What if there were 10^100 possibilities instead? Or uncertainty where the full real thing is not contained in the hypothesis space?