If you are not willing to justify your model empirically, well then that says it all. You should be willing to empirically justify your theory. — Jeremiah
If you are doing it based on the your X, X/2 sample space, you'll get your expected gain. — Jeremiah
x <- sample(1:100, 1) * 4
if ( 0 == max_2x || choice <= max_2x / 2 ) { switch <- switch + other } # Otherwise increase the switching strategy amount by the amount in the chosen # envelope else { switch <- switch + choice } # Record the highest value seen max_2x <- max(c(choice, other, max_2x))
You code is based off your assumptions. — Jeremiah
# If the amount in the chosen envelope is less than or equal to # 300 then switch and increase the switching strategy amount # by the amount in the new envelope if (choice <= 300) { switch <- switch + other } # Otherwise increase the switching strategy amount by the amount in the chosen # envelope else { switch <- switch + choice }
Do you believe that shows that your original argument, which concludes that the value of whatever envelope you don't have is 1/4 more than the one you do have, is valid? — Srap Tasmaner
If that expected value calculation is correct, then Always Switch should produce the expected gain, shouldn't it? — Srap Tasmaner
What, in that formula, suggests that a Sometimes Switch strategy is correct? — Srap Tasmaner
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