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:
Gregory Bateson
H = -∑pi logepi
(the inverse of the probability of the signal)
Claude E. Shannon
pk rephrases Wiener, Shannon, Bateson: Information "is"
Also essential to pk's macroinformation (also from Bateson):
Gregory Bateson
Now: Macroinformation:
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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