kered rettop
- 259
- 95
OK, but you can hardly expect MWI to interpret the mess it inherited from QM which it inherited from (classical) probability theory, which inherited it from mathematicians who reliably never agree about anythingbhobba said:Aside from the Kolmogorov Axioms, there is no generally accepted meaning of probability, even in mathematics.
It sounds reasonable, but an interpretation of probability is part of the MWI.
. I think it is reasonable to use the same working assumptions as a statistician would. Maybe any claims about probability need to be stated with a caveat or perhaps MWI should only talk about quasi-probability, but that doesn't invalidate anything. What MWI does need to do, is to make sure that its quasi-probabilty does, in fact, make the same predictions as a "real" probability would.Yes. I read a paper by Wallace a few years ago expounding his decision-theoretic approach. It seemed to be counter-productive, in that, by implication, it accepts that there is a problem peculiar to MWI, not common to all interpretations, or indeed all quantifiable science. But I was young then (like hell) and these days I am much more open to the idea that that there really is an issue. Whether that openness survives this thread remains to be seen.Often, in many worlds, you find it couched in terms of decision theory formulated as a kind of bet on which world you would experience.
Very glad of your reply, thank you.