On 30-06-2018 21:27, Jason Resch wrote:
It looks like Bruno's idea of extracting physics from all computations
is catching on. I came across this article:
https://en.wikipedia.org/wiki/Solomonoff%27s_theory_of_inductive_inference
[1]
And this idea (from the 1960s) is being used in recent papers, such as
this one: https://arxiv.org/pdf/1712.01826.pdf [2]
Thus, in this paper, I propose an alternative approach which starts
with a (rigorously formalized) concept of “observation” as its
primary notion, and does not from the outset assume the existence of
a “world” or physical laws. It can be subsumed under a single
postulate: namely, that Solomonoff induction correctly predicts
future observations. Using tools from algorithmic information
theory, I show that the resulting theory suggests a possible
explanation for why there are (simple computable probabilistic)
“laws of nature” in the first place.
Jason
Interesting! I think Markus Mueller made a brief appearance on this list
a long time ago.
Saibal
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