By "unsolvable" I mean that you're screwed over in final outcomes, not that TDT fails to have an output.
The interesting part of the problem is that, whatever you decide, you deduce facts about the background such that you know that what you are doing is the wrong thing. However, if you do anything differently, you would have to make a different deduction about the background facts, and again know that what you were doing was the wrong thing. Since we don't believe that our decision is capable of affecting the background facts, the background facts ought to be a fixed constant, and we should be able to alter our decision without affecting the background facts... however, as soon as we do so, our inference about the unalterable background facts changes. It's not 100% clear how to square this with TDT.
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I don't see why this is outside of UDT's domain. It seems straightforward to model and solve the decision problem in UDT1. Here's the world program:
Assuming a preference to maximize the occurrence of outcome="live" averaged over P("green") and P("red"), UDT1 would conclude that the optimal S returns a constant, either "green" or "red", and do that.
BTW, do you find this "world program" style analysis useful? I don't want to over-do them and get people annoyed. (I refrained from doing this for the problem described in Gary's post, since it doesn't mention UDT at all, and therefore I'm assuming you want to find a TDT-only solution.)
Yes, I was focusing on a specific difficulty in TDT, But I certainly have no objection to bringing UDT into the thread too. (I myself haven't yet gotten around to giving UDT the attention I think it deserves.)