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. 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.

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