Act II of  Manthey's little drama should have read:

The man now extends his hand and it contains *a bunch of* identical coins.

Stipulating that the* bunch of* coins are in every relevant respect
identical to the coins we saw earlier, we now know that there are *"more
than one coin"*, that is, *we have received one bit of information*, in
that the ambiguity is resolved...

On Mon, Jan 6, 2020 at 3:47 PM Matt Mahoney <[email protected]> wrote:

> I show you n coins. How much information did I transmit, as a function of
> n?
>
> Of course the answer depends on what probability distribution you were
> assuming over the nonnegative integers. But whatever it is, it must favor
> small numbers over large, in the sense that there are an infinite number of
> larger and less likely possibilities, but only a finite number of smaller
> or more likely possibilities. That is the fundamental reason why Occam's
> Razor and Solomonoff induction work.
>
> On Sun, Jan 5, 2020, 9:56 PM James Bowery <[email protected]> wrote:
>
>> An excerpt from "Awareness Lies Outside Turing's Box" by Michael Manthey
>>
>> *Act I. A man stands in front of you with both hands behind his back. He
>> shows you one hand containing a coin, and then returns the hand and the
>> coin behind his back. After a brief pause, he again shows you the same hand
>> with what appears to be an identical coin. He again hides it, and then
>> asks, “How many coins do I have?” *
>>
>> Understand first that this is not a trick question, nor some clever play
>> on words - we are simply describing a particular and straightforward
>> situation. The best answer at this point then is that the man has “at least
>> one coin”, which implicitly seeks *one bit* of information: two possible
>> but mutually exclusive states: *state1* = “one coin”, and *state2 *=
>> “more than one coin”.
>>
>> One is now at a decision point - *if *one coin *then *doX *else *doY -
>> and exactly one bit of information can resolve the situation. Said
>> differently, when one is able to make this decision, one has *ipso facto*
>> *received* one bit of information.
>>
>> *Act II. The man now extends his hand and it contains two identical
>> coins. *
>>
>> Stipulating that the two coins are in every relevant respect identical to
>> the coins we saw earlier, we now know that there are two coins, that is, *we
>> have received one bit of information*, in that the ambiguity is
>> resolved. We have now arrived at the demonstration’s dramatic peak:
>>
>> *Act III. The man asks, “Where did that bit of information come from?” *
>>
>> Indeed, where *did *it come from?!
>>
>> The bit originates in the *simultaneous presence* of the two coins -
>> their *cooccurrence* - and encodes the now-observed *fact *that the two
>> *processes*, whose states are the two coins, respectively, do not
>> exclude each other’s existence when in said states.
>>
>> Thus, there is information in (and about) the environment that *cannot *be
>> acquired sequentially, and true concurrency therefore *cannot *be
>> simulated by a Turing machine.  Can a given state of process a *exist
>> simultaneously* with a given state of process b, *or* do they *exclude*
>> each other’s existence? In concurrent systems, *this* is the fundamental
>> distinction.
>>
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