On 17 Mar 2016, at 16:26, spudboy100 via Everything List wrote:
Wolfram would agree with this paper in some ways.
https://www.youtube.com/watch?v=Re9eB_j6m-0
The main content gets very interesting, for me, at 1hr 8 minutes in,
and 1 hr 12 minutes in to Wolfram's SETI lecture.
-----Original Message-----
From: Dan <[email protected]>
To: Everything List <[email protected]>
Sent: Wed, Mar 16, 2016 11:13 pm
Subject: Can Space-Time Be Based on Logic and Computation?
Paper:
http://arxiv.org/abs/1602.06987
Comments:
Lossless compression of an image or audio file approximates its
Kolmogorov complexity and reveals its "compressibility," or
"interestingness." If it's not at all compressible it is too random
to be aesthetic or enjoyable, whereas too much compressibility is
associated with oversimplicity. Many classical works have been
analyzed in this way and show to be in the middle. Schmidhuber
mentions a theory of creativity, fun, motivation based on
compression progress. Compression progress seems to be essential to
theory of general AI- I refer to neuroevolution techniques,
Cilibrasi and Vitanyi's paper Clustering by Compression for
inference, as well as Wissner-Gross's simulations showing tool-usage
behavior upon entropy maximization. Was a paper recently giving
exact mapping between renomalization group and deep learning.
Do you have the reference of that paper?
Paper I link to above takes idea of data compression / Kolmogorov
complexity even beyond a relationship to statistical mechanics or
deep learning to explain the causal appearance of spacetime itself.
I want to understand how Extreme Physical Information fits in to all
of this.. it provides observer dependence and derivation of so many
physical and nonphysical laws. It also encapsulates limits of
knowledge using any particular channel of perception.
Of course the Gödel type of limitation (as opposed to Kolmogorov or
Chaitin type of limitation) is independent of even the existence of a
channel of perception (which are eventually emergent on the Gödel-
Löbian sort of limitation). A big difference between both is that the
algorithmic information limitation is non constructive: you get an
infinity of undecidable sentences, but no means to individually
recognize them. On the contrary, the Gödel-Löbian limitations is
constructive, and gives the means to the machine to build the
undecidable sentences, and perhaps to extends itself from them. Indeed
the whole (propositional) logic of the true but non provable sentences
is structured by the modal logic G* minus G and its intensional
variants. This is useful to get the qualia and the general qualitative
feature associate to consciousness.
Bruno
--
You received this message because you are subscribed to the Google
Groups "Everything List" group.
To unsubscribe from this group and stop receiving emails from it,
send an email to [email protected].
To post to this group, send email to [email protected].
Visit this group at https://groups.google.com/group/everything-list.
For more options, visit https://groups.google.com/d/optout.
--
You received this message because you are subscribed to the Google
Groups "Everything List" group.
To unsubscribe from this group and stop receiving emails from it,
send an email to [email protected].
To post to this group, send email to [email protected].
Visit this group at https://groups.google.com/group/everything-list.
For more options, visit https://groups.google.com/d/optout.
http://iridia.ulb.ac.be/~marchal/
--
You received this message because you are subscribed to the Google Groups
"Everything List" group.
To unsubscribe from this group and stop receiving emails from it, send an email
to [email protected].
To post to this group, send email to [email protected].
Visit this group at https://groups.google.com/group/everything-list.
For more options, visit https://groups.google.com/d/optout.
