The information hidden in Markov diffusion - Couverture souple

Lerner, Vladimir S.

 
9783330080737: The information hidden in Markov diffusion
Couverture souple
ISBN 10 : 3330080736 ISBN 13 : 9783330080737
Editeur : LAP LAMBERT Academic Publishing, 2017

Synopsis

We study emergence of quantum, dynamic information, and arising an information observer under impulse interactive actions in Markov diffusion process modeling random environment. The interactive delta-impulse of Markov diffusion process cuts the process correlation revealing hidden information connecting the process inner states. Information appears as phenomenon of interactions. The impulse probing probabilities, observing random process under Kolmogorov’s 1-0 law, link Bayesian probabilities that increases each posterior correlation and reduces conditional entropy measures up to cutting this entropy by high probable impulse. Cutting random process correlation, covering the interactive internal events, reveals underneath both hidden quantum and classical information. The cutting entropy sequentially converts to information and memorizes the impulse probabilistic logic in bits, which participates in next conversions and encoding. The impulse step-down action cuts a maximum of impulse’ minimal uncertainty-entropy, and the impulse’ step-up action transforms the cutting portion to ending impulse state, where it kills the uncertainty, delivering the equal minimax information.

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Présentation de l'éditeur

We study emergence of quantum, dynamic information, and arising an information observer under impulse interactive actions in Markov diffusion process modeling random environment. The interactive delta-impulse of Markov diffusion process cuts the process correlation revealing hidden information connecting the process inner states. Information appears as phenomenon of interactions. The impulse probing probabilities, observing random process under Kolmogorov’s 1-0 law, link Bayesian probabilities that increases each posterior correlation and reduces conditional entropy measures up to cutting this entropy by high probable impulse. Cutting random process correlation, covering the interactive internal events, reveals underneath both hidden quantum and classical information. The cutting entropy sequentially converts to information and memorizes the impulse probabilistic logic in bits, which participates in next conversions and encoding. The impulse step-down action cuts a maximum of impulse’ minimal uncertainty-entropy, and the impulse’ step-up action transforms the cutting portion to ending impulse state, where it kills the uncertainty, delivering the equal minimax information.

Biographie de l'auteur

Dr. Vladimir S. Lerner is a Computer Scientist and Professor in Systems Analysis and Modeling. Professor Lerner has taught at California University at Los Angeles, West Coast University, National University and also in the Universities of former USSR. He is author of Information Macrodynamics-a new computer-based information science.

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Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2017
Langue
anglais
ISBN 10 
3330080736
ISBN 13 
9783330080737
Reliure
Broché
Nombre de pages
104
Coordonnées du fabricant
non disponible
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