The meaning of information is exactly its relationship to changes in other information. (Minds are systems to discover models, which are approximators of this function.)
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Replying to @Plinz
I prefer this perspective to the idea that minds generate the model (Kant)
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Replying to @Gregg_E_Miller
Basically, Kant tried to come up with the fundamental architecture of cognition. Wittgenstein tried to find the fundamental language. They were both brilliant but slightly wrong.
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Replying to @Plinz
you have a comprehensive position on Kant/Wittgenstein explaining in what way they are wrong?
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Replying to @usedtobethere
A proper analysis that does them justice would take years. In short, I think they mostly did symbolic AI.
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Replying to @Plinz
years even? maybe you have some pointers or someone who has formulated an analysis along your lines of thought or whom you agree with?
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Replying to @usedtobethere
If you are up to date with theories of representation and language in AI, just re-read the Tractatus: it is a big joy to see how brilliant he was, how far he got, and how dramatically he was misunderstood by nonanalytic philosophers.
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Replying to @Plinz @usedtobethere
Likewise, the Critique of Pure Reason is an excellent start into Kant once you understand the insights AI delivers on how a mind forms models over patterns of data. Kant is the Nostradamus on AI: he could predict most developments, but he is understood only in hindsight.
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Replying to @Plinz
but don't forget his maybe even more important Critique of Judgment
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Replying to @usedtobethere
Hm, I thought of it as much weaker than the critique of pure reason? (and practical reason would have needed evolutionary game theory)
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Basically, it is genius, given that there was almost no prior work, but there is only so much you can say about decision making, aesthetic and hedonic valence without empirical research in cognitive psychology
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