Does this apply at all to anything more probabilistic than just reversing the outcome of a single most likely hypothesis and the next bit(s) it outputs? An Occamian prior doesn’t just mean “this is the shortest hypothesis; therefore it is true,” it means hypotheses are weighted by their simplicity. It’s possible for an Occamian prior to think the shortest hypothesis is most likely wrong, if there are several slightly longer hypotheses that have more probability in total.
Does this apply at all to anything more probabilistic than just reversing the outcome of a single most likely hypothesis and the next bit(s) it outputs? An Occamian prior doesn’t just mean “this is the shortest hypothesis; therefore it is true,” it means hypotheses are weighted by their simplicity. It’s possible for an Occamian prior to think the shortest hypothesis is most likely wrong, if there are several slightly longer hypotheses that have more probability in total.
Of course, the generalization would be that the environment inverts whatever next bit some Occamian agent thinks is most probable.