  What is information originating in observation? Until now it has no
scientifically conclusive definition. Information is memorized entropy cutting
in random observations which processing interactions. Randomness of various
interactive observations is source of entropy as uncertainty. Observation under
random 1-0 impulses probabilities reveals hidden correlation which connects
Bayesian probabilities increasing each posterior correlation. That sequentially
reduces relational entropy conveying probabilistic casualty with temporal
memory of correlations which interactive impulse innately cuts. Within hidden
correlation emerges reversible time space microprocess with conjugated
entangled entropy which probing impulse intentionally cuts and memorizes
information as certainty. Sequential interactive cuts integrates cutting
information in information macroprocess with irreversible time course.
Memorized information binds reversible microprocess within impulse with
irreversible information macroprocess. Observer probes collect cutting
information data bits of observing frequencies impulses. Each impulse cuts
maximum of impulse minimal information performing dual max-min principle of
converting process entropy to information through uncertain gap. Multiple
naturally encoding bits moving in macroprocess join triplet macrounits which
logically organize information networks encoding macrounits in structures
enclosing triplet code. Network time space distributed structure self renews
and cooperates information decreasing its complexity. Integrating process
entropy functional and bits information in information path integral embraces
variation minimax law which determines processes regularities. Solving problem
mathematically describes micro macro processes, network, and invariant
conditions of observer network self replication.
