In the traditional formulation of Newcomb's Problem (at least here on Less Wrong), if Omega predicts you'll use a randomizer, it will leave box B empty.
That's weird. Assuming human decision making is caused by neural processes, which aren't perfectly reliable, there'd be no way for a human to not use a randomizer.
This is equivalent to Newcomb's Problem in the sense that any strategy does equally well on both, where by "strategy" I mean a mapping from info to (probability distributions over) actions.
I suspect that any problem with Omega can be transformed into an equivalent problem with amnesia instead of Omega.
Does CDT return the winning answer in such transformed problems?
Discuss.