Re: questionnaire

From: Zen_Ved <shevch.domain.name.hidden>
Date: Fri, 4 Jul 2008 05:28:49 -0700 (PDT)

Günther Greindl:
> From the questionnaire:
>
> >Why do we believe that both the past and the future are not
> >completely random, but the future is more random than the past?
>
> I didn't know we believed that *grin*.
>
>
> Cheers,
> G?nther
> G?nther Greindl
> Department of Philosophy of Science
> University of Vienna
> guenther.greindl.domain.name.hidden
> http://www.univie.ac.at/Wissenschaftstheorie/
>
> Blog: http://dao.complexitystudies.org/
> Site: http://www.complexitystudies.org/
>
> Research Proposal:
> http://www.complexitystudies.org/ph.d.-thesis.html

________
***>Why do we believe that both the past and the future are not
completely random, but the future is more random than the past?
 I didn't know we believed that *grin*.***
-------------
- don’t agree.

The question above is one (as well the others) of Wei Dai's 1998
'everything' mailing list. Though the decade passed, the question
remains non-trivial and so – actual.

If you have read the link http://arxiv.org/abs/physics/0703043 , V5
(and the first couple of pages in V1) then it is possible that you
note the problem: when fundamental set 'Information' is so 'wild' –
then why (and how) in this set can exist some 'stable' sub-sets, e.g.
– our Universe, somebody’s consciousness, etc.-?
Including – under uninterrupted interactions of a sub-set (as whole
and of it’s elements) with total Set the subset’s history is indeed
random; but – not totally random; – why?
Some answers on the question under the inform concept seem as:
(1) the Universe is 'stable' since it’s components (first of all –
elementary particles) are some cyclic informational closed loop
structures, some analogs of closed loop systems of electronic
logical elements that infinitely repeats the cycle, and so are 'all-
sufficient'; when larger structures (planet systems, galaxies. etc.) –
tend to build also closed loop cycles and so 'to be all-sufficient'.
(2) when Universe’s history is a random Markov process, to follow the
past we can use known, to some extent, data; when for prognosis
such information is much smaller.
Etc...

Cheers



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Received on Fri Jul 04 2008 - 08:29:01 PDT

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