Corpus ID: 9442667

Integrating hidden information which is observed and the observer information regularities

  title={Integrating hidden information which is observed and the observer information regularities},
  author={Vladimir S. Lerner},
  journal={arXiv: Adaptation and Self-Organizing Systems},
  • Vladimir S. Lerner
  • Published 4 March 2013
  • Computer Science, Physics, Mathematics
  • arXiv: Adaptation and Self-Organizing Systems
Bayesian integral functional measure of entropy-uncertainty (EF) on trajectories of Markov multi-dimensional diffusion process is cutting off by interactive impulses (controls). Each cutoff minimax of EF superimposes and entangles conjugated fractions in microprocess, enclosing the captured entropy fractions as source of an information unit. The impulse step-up action launches the unit formation and step-down action finishes it and brings energy from the interactive jump. This finite jump… Expand
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