Torben comments on Open Thread: September 2011 - LessWrong
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I keep running into problems with various versions of what I internally refer to as the "placebo paradox", and can't find a solution that doesn't lead to Regret Of Rationality. Simple example follows:
You have an illness from wich you'll either get better, or die. The probability of recovering is exactly half of what you estimate it to be due to the placebo effect/positive thinking. Before learning this you have 80% confidence in your recovery. Since you estimate 80%, your actual chance is 40% so you update to this. Since the estimate is now 40%, the actual chance is 20%, so you update to this. Then it's 10%, so you update to that. etc. Until both your estimated and actual chance of recovery are 0. then you die.
An irrational agent, on the other hand, upon learning this could self delude to 100% certainty of recovery, and have a 50% chance of actually recovering.
This is actually causing me real world problems, such as inability to use techniques based on positive thinking, and a lot of cognitive dissonance.
Another version of this problem features in HP:MoR, in the scene where harry is trying to influence the behaviour of dementors.
And to show this isn't JUST a quirk of human mind design, one can envision Omega setting up an isomorphic problem for any kind of AI.
Your model assumes a constant effect in each iteration. Is this justified?
I would envisage a constant chance of recovery and an asymptotically declining estimate of recovery. It seems more realistic, but maybe it's just me?
It's a toy case, in reality the chance of recovery might be "0.2+0.3*estimate", but the same general reasoning applies and the end result is still regret of rationality.