On Sun, Jun 27, 2021, 7:04 PM Tomas Pales <[email protected]> wrote:

>
> On Sunday, June 27, 2021 at 10:56:33 PM UTC+2 Jason wrote:
>
>>
>> By chance I was just reading this:
>> https://www.researchgate.net/publication/286624424_My_8_Big_Ideas by
>> Zuboff, and in it he shows how to justify induction through a priori
>> reasoning:
>>
>> "By the same reasoning
>> as above, if all the first beads randomly drawn are blue, it is becoming
>> more and more
>> probable that the beads in the urn are generally blue. (Otherwise
>> something improbable
>> would be happening in another colour not appearing; and what’s improbable
>> is improbable.)
>> It is therefore probable also that the next bead drawn will be blue. This
>> is induction. As Hume
>> would have said, we could not know a priori, given this evidence, that
>> the next bead will be
>> blue. But, as he overlooked, we can know a priori, given this evidence,
>> that it is probable that
>> the next bead will be blue.
>>
>
> That makes sense. I am wondering, if this idea was worked out in more
> detail maybe it would end up being the same as Solomonoff's theory of
> induction?
>

That's a good question. I think it might, if you presume observer states
are computationally generated, and assume all program descriptions have a
uniform likelihood. Markus Mueller has a derivation in his paper where he
shows "consistent laws" are the rule rather than the exception for
observers. Then the repeated tests of stable laws acts like drawing 🔵 over
and over. No test is guaranteed to be affirm consistency, but the
likelihood increases as the compressed (lawful) description becomes more
likely.

As an aside, I also wonder whether less significant, unmeasured decimal
places if fundamental constants are in a sense "undefined."

Jason


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