Once you fully integrate your mind, you should be concerned about a thing you want to affect exactly to the degree to which your concern can contribute to your efforts to affect it.
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Replying to @Plinz @ThomasMetzinger
Ex falso quodlibet; the inference is accepted. I mean, how can an agent “exactly” know that degree?
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Replying to @zerology @ThomasMetzinger
It is recursive. If you don't know, start a process of inquiry that is exactly fueled by the amount of concern that you think is appropriate based on the available information about the value of the information differential, and you know that you have done the best you could.
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Replying to @Plinz @ThomasMetzinger
I dont understand. To me, “affecting X” & “judging how much I can affect X” are different things, and I don’t see how to compare them.
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Replying to @zerology @ThomasMetzinger
Pain is a signal used to adjust behavior. But if you cannot improve a thing, it is pointless to try to adjust it. If your pain generator properly figures that out, it can turn off the pain. If it does not, then its behavior should be adjusted by a secondary regulator, and so on.
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Replying to @Plinz @ThomasMetzinger
I see. You talk about the concern/pain/regulator only, not about a “correct” evaluation. So this is a kind of self consistency. Then agreed.
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Replying to @zerology @ThomasMetzinger
You should be concerned about having done the right evaluation to the degree to which you have reason to believe that you did, which might entail a second order evaluation etc.
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Replying to @Plinz @ThomasMetzinger
Do you have literature about that? (math welcome) I still doubt that this is easy when using more than one world model. Have to ponder.
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Replying to @zerology @ThomasMetzinger
There is lots of stuff on quantifying the value of information, but I don't know a book that would translate these concepts into psychology. I am pretty sure that the Buddhist practitioners must have figured it out and wrote it down somewhere.
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Russel/Norvig has a section on computing the value of information, but I don't know if it scales up to the algorithm of optimal recursive distribution of computational resources for optimizing the control architecture that maximizes the global rewards.
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It seems to relatively obvious to derive for anyone with an attention span longer than the average gold fish (ie not me at the moment), so I imagine that lots of people have done it.
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