Thread:
SJ:http://permalink.gmane.org/gmane.science.philosophy.peirce/16086
JA:http://permalink.gmane.org/gmane.science.philosophy.peirce/16087
JLRC:http://permalink.gmane.org/gmane.science.philosophy.peirce/16089
JBD:http://permalink.gmane.org/gmane.science.philosophy.peirce/16090
Jeff, List,
I've been sidetracked by travel and waylaid by a virus since the end of March,
just now starting to climb out of the fog. Considering the MS on Measurement
in CP 7.280-312 and the parallel material in CP 4.142-152, although they have
a certain bearing on the present topic I think it would take us down a rather
long and winding road to make the necessary connexions. At any rate, I sense
I've used up too much of Sung's thread already, so I'll take a moment to look
over the loose ends of this one and see if I find a way to bring them together.
Regards,
Jon
On 4/4/2015 1:10 PM, Jeffrey Brian Downard wrote:
Hello Jon,
Thanks for the explanation of an uncertainty measure and the link to your work
on information. If you have worked on
Peirce's general account of measurement (e.g., the account laid out in the CP
at CP 7.280), I'd like to see what you
have to say. I see that you have a subchapter in Inquiry Driven Systems titled
"Measure for Measure, but you appear
to be working on a question having to do with how we might interpret the
quantifiers in logic. Have you written up
an explanation or have comments somewhere on his general theory of measurement?
--Jeff
Jeff Downard Associate Professor Department of Philosophy NAU (o) 523-8354
________________________________________
From: Jon Awbrey [[email protected]] Sent: Saturday, April 04, 2015 5:36 AM To:
Sungchul Ji; Peirce List Cc:
biosemiotics Subject: [PEIRCE-L] Re: What is information and how is it related
to 'entropy' ?
Sung, List,
From a mathematical point of view, an “entropy” or “uncertainty” measure is
simply a measure on distributions that
achieves its maximum when the distribution is uniform. It is thus a measure of
dispersion or uniformity.
Measures like these can be applied to distributions that arise in any given
domain of phenomena, in which case they
have various specialized meanings and implications.
When it comes to applications in communication and inquiry, the information of
a sign or message is measured by its
power to reduce uncertainty.
The following essay may be useful to some listers:
http://intersci.ss.uci.edu/wiki/index.php/Semiotic_Information
Regards,
Jon
http://inquiryintoinquiry.com
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