This does not implies a reality created by an UD algorithm. It may be a mathematical universe, that is a superset of the computable universes. The measure problem in the UD algorith translates to the problem of the effectivity of the Occam Razor, or the problem of the apparent simplicity of the phisical laws, or, in other words, their low kolmogorov complexity, that solomonov translates in his theory of inductive inference.
2012/10/21 Alberto G. Corona <[email protected]> > Ok > > I don´t remember the reason why Solomonof reduces the probability of the > programs according with the length in is theory of inductive inference. I > read it time ago. Solomonoff describes in his paper about inductive > inference a more clear and direct solution for the measure problem. but I > though that it was somehow ad hoc. > > I tough time ago about the Solomonof solution to the induction problem, > and I though as such: living beings have to find, by evolution, at least > partial and approximate inductive solutions in order to survive in their > environment. This imposes a restriction on the laws of a local universe > with life: It demand a low kolmogorov complexity for the *macroscopical* > laws. Otherwise these laws would not be discoverable, there would be no > induction possible, so the living beings could not anticipate outcomes and > they woul not survive. > > Solomonoff is a living being in a local universe, so shorther programs are > more probable and add more weight for induction. > > I´m just thinking aloud. I will look again to the solomonof inductive > inference. I was a great moment when I read it the first time. > > > 2012/10/20 Russell Standish <[email protected]> > >> On Sat, Oct 20, 2012 at 09:16:54PM +0200, Alberto G. Corona wrote: >> > This is not a consequence of the shannon optimum coding , in which the >> > coding size of a symbol is inversely proportional to the logaritm of >> the >> > frequency of the symbol?. >> >> Not quite. Traditional shannon entropy uses probability of a symbol, >> whereas algorithmic complexity uses the probability of the whole >> sequence. Only if the symbols are independently distributed are the >> two the same. Usually, in most messages, the symbols are not id. >> >> > >> > What is exactly the comp measure problem? >> >> A UD generates and executes all programs, many of which are >> equivalent. So some programs are represented more than others. The >> COMP measure is a function over all programs that captures this >> variation in program respresentation. >> >> Why should this be unique, independent of UD, or the universal Turing >> machine it runs on? Because the UD executes every other UD, as well as >> itself, the measure will be a limit over contributions from all UDs. >> >> Cheers >> -- >> >> >> ---------------------------------------------------------------------------- >> Prof Russell Standish Phone 0425 253119 (mobile) >> Principal, High Performance Coders >> Visiting Professor of Mathematics [email protected] >> University of New South Wales http://www.hpcoders.com.au >> >> ---------------------------------------------------------------------------- >> >> -- >> You received this message because you are subscribed to the Google Groups >> "Everything List" group. >> To post to this group, send email to [email protected]. >> To unsubscribe from this group, send email to >> [email protected]. >> For more options, visit this group at >> http://groups.google.com/group/everything-list?hl=en. >> >> > > > -- > Alberto. > -- Alberto. -- You received this message because you are subscribed to the Google Groups "Everything List" group. To post to this group, send email to [email protected]. To unsubscribe from this group, send email to [email protected]. For more options, visit this group at http://groups.google.com/group/everything-list?hl=en.
