Saturday, January 10, 2009

Macroinformation Definitions

Information begets information.

First, before I define macroinformation (complex information, interpreted information, information as understood by social humans), I review the great definitions of information that followed from information theory of the 1940s:

Information:any difference that makes a difference
Gregory Bateson

H = -∑pi logepi
(the inverse of the probability of the signal)
Claude E. Shannon
Norbert Wiener was talking in parallel around the same time, early 1940s (also for the phone company!)

pk rephrases Wiener, Shannon, Bateson: Information "is"Significant difference, inversely related to probability.


Also essential to pk's macroinformation (also from Bateson):Interactions between different logical levels produce phenomena unseen at either level
Gregory Bateson

Now: Macroinformation:Complex information emerging from frictions among categories

Macroinformation, the cream of the information — multi-complex, multi-dimensional information — is silent — and emerges from conflict: logical frictions among logical categories.

The potential of the information is directly proportional to the complexity of the informational geometry.

("Category" and "geometry" are explored above and below this post.)

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