Smoking lesion is an interesting problem in that it’s really not that well defined. If an FDT agent is making the decision, then its reference class should be other FDT agents, so all agents in the same class make the same decision, contrary to the lesion which should affect the probability. The approach that both of us take is to break the causal link from the lesion to your decision. I really didn’t express my criticism well above, because what I said also kind of applies to my post. However, the difference is that you are engaging in world counting and in world counting you should see the linkage, while my approach involves explicitly reinterpreting the problem to break the linkage. So my issue is that there seems to be some preprocessing happening before world counting and this means that your approach isn’t just a matter of world counting as you claim. In other words, it doesn’t match the label on the tin.
Smoking lesion is an interesting problem in that it’s really not that well defined. If an FDT agent is making the decision, then its reference class should be other FDT agents, so all agents in the same class make the same decision, contrary to the lesion.
Wha...? Isn’t like saying that Newcomb’s is not well defined? In the smoking lesion problem there is only one decision that gives you highest expected utility, no?
Smoking lesion is an interesting problem in that it’s really not that well defined. If an FDT agent is making the decision, then its reference class should be other FDT agents, so all agents in the same class make the same decision, contrary to the lesion which should affect the probability. The approach that both of us take is to break the causal link from the lesion to your decision. I really didn’t express my criticism well above, because what I said also kind of applies to my post. However, the difference is that you are engaging in world counting and in world counting you should see the linkage, while my approach involves explicitly reinterpreting the problem to break the linkage. So my issue is that there seems to be some preprocessing happening before world counting and this means that your approach isn’t just a matter of world counting as you claim. In other words, it doesn’t match the label on the tin.
Wha...? Isn’t like saying that Newcomb’s is not well defined? In the smoking lesion problem there is only one decision that gives you highest expected utility, no?