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 And this idea (from the 1960s) is being used in recent papers, such as this one: https://arxiv.org/pdf/1712.01826.pdf 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 -- 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.
