Repository URL:
http://philsci-archive.pitt.edu/id/eprint/2458
Author(s):
André C. R. Martins
preprint description
I will show that, in the Problem of Old Evidence, unless a rational agent has a property I will call theoretical omniscience (a stronger version of logical omniscience), a problem with non-commutativity of the learning theories follows. Therefore, scientists, when trying to behave as close to rationality as possible, should behave in a way close to the counterfactual strategy. The concept of theoretical omniscience will be applied to the problem of Jeffrey conditionalization, as an example, and we will see that a more complete theoretical model can provide a classical conditionalization where you can learn that data was wrong and all you will not unlearn is your memory.

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