On 19 Dec 2003, blind wrote:
I'm trying to quantify a "ghost" concept of algorithmic information
theory, that is the "meaning". Of course meaning of a string is
relative to the receiver. And in some way a byte can contain more
meaning for a receiver that a flow of data. a bit can means british
encyclopedia... But the receiver have in this case to contain a copy
of B.E. for decode it.
So we can define the "meaning" of a string the minimal lenght of the
message plus the minimal length of UTM that describe the receiver.
(that is in some way objective).

In short I think that receiver is not a "passive" entity, but an UTM
which decription can be linked algorithmically to message for lead us
to something that is similar to "meaning". I think also the
transmitter is an UTM, which produce the message. I think that is a
step (small) to shannonian statistic receiver and transmitter, and is
near to Algorithmic Information Theory.
help in this sense.
blind
borges2003y@yahoo. com

Here's something to think about. Suppose that if the last bit of
a message is a "1" the receiver is to ignore the preceding message,
and if it is "0" then ignore the last bit. How much "meaning" does
the last bit convey? How much information? (hint: maybe negative
information?)

phil