When searching for truth, it is wrong to cut off areas of the search space before you prove that they must be empty, which requires a metatheory of the space you are searching. But once you have that metatheory, it is also wrong to not discard areas that you know to be empty.
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Replying to @Plinz
You don't need a metatheory. There is a huge difference between knowing it and being it. Many of the empty areas get automatically discarded from search space if the heuristics is right!
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Replying to @muralipiyer
Pragmatically that is ok if you just want to model the opinions around you so you can play by the rules of your environment, and you don't see reason to suspect that you are stuck in a local optimum. But philosophy and physics and social order are mostly stuck in local optima.
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Replying to @Plinz
I am arguing that there is no global optima. We just have a bunch of local optima that just keeps moving with time me. It's a distributed system, so to speak
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What makes you so sure? If you try to model a function, would a proof that there is no global optimum in model space (i.e. one function that models that function best) not surprise you?
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