I don't know if this is a little too afar field for even a Discussion post, but people seemed to enjoy my previous articles (Girl Scouts financial filings, video game console insurance, philosophy of identity/abortion, & prediction market fees), so...
I recently wrote up an idea that has been bouncing around my head ever since I watched Death Note years ago - can we quantify Light Yagami's mistakes? Which mistake was the greatest? How could one do better? We can shed some light on the matter by examining DN with... basic information theory.
Presented for LessWrong's consideration: Death Note & Anonymity.
That's plausible, but my counterexample still holds, apparently. I'm sure the desired theorem is true under the right hypotheses, but I can't quite guess what they are right now.
In the cloning scenario, Tim-in-China would have to be a modified version of Tim-in-US. Tim-in-US is optimizing for a utility function U of the environment which perhaps can only be evaluated based on information available to Tim-in-US. Tim-in-China would be constructed to optimize for the best estimate of U it can make, given that it's in China. This best estimate will be different from U. If everything important happens in China and needs quick responses, and Tim-in-US can't move, it might even be worthwhile for Tim-in-US to sacrifice himself to create Tim-in-China.
Tim-in-China is clearly a self-modification, since the utility function is different, right?
In general, we can contrive the circumstances so the agent is paid to self-modify. If the agent is rational and it's paid enough to self-modify, it will.
There's no reason for this. A true CDT doesn't need to see the results of its actions, it just needs to predict them. Since its an ideal Bayesian, it should be quite good at this. Tim in China might acquire new information the Tim in US didn't know, causing it to revise its probability distribution, but it would not change its utility function. Nor would it cease to be a CDT, which means in practice it would not self-modify.
Also, strictly speaking, prior to the point ... (read more)