On Feb 13, 2008 5:19 AM, Pat Hayes <phayes@xxxxxxx> wrote:
>
> But OK, let me accede to my own strictures. You are right, any variable
> which incorporates a degree of chance may be called 'random'; and Sean is
> right that a sampling of such values may well provide statistical
> information about likelihoods. Nevertheless, my original point still holds.
> When we are talking about what is usually called a 'random sequence' of
> numbers or bits, as spoken of in Kolmogoroff theory, what makes such a
> sequence have maximal information density is that there is no way to compute
> any one of its values from all the others. (01)
I think that's right Pat. But, with respect to you all, I'm not
talking about extracting information about the next bit. (02)
Let's try another approach. Given a sequence random by this
definition. How many distinct patterns can you find in it? (03)
-Rob (04)
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