Bøger af Vladimir S. Lerner

Scientific Study from the year 2017 in the subject Computer Science - Bioinformatics, grade: 10, , language: English, abstract: In observing interactive processes, conversion of observed uncertainty to observer certainty is natural phenomenon creating Yes-No actions of information Bit and its information observer.Observer emerges from interacting random field of Kolmogorov probabilities which link Kolmogorov 0-1 law probabilities and Bayesian probabilities observing Markov diffusion process by probabilistic 0-1 impulses. Each No-0 action cuts maximum of impulse minimal entropy while following Yes-1 action transfers maxim between impulses performing dual principle of converting process entropy to information.Merging Yes-No actions generate microprocess within bordered impulse producing Bit with free information when the microprocess probability approaches 1. Interacting bits memorizes each impulse free information which attracts multiple Bits moving macroprocess that self-joins triplet macrounits. Each memorized information binds reversible microprocess within impulse with irreversible macroprocess.The observation automatically converts cutting entropy to information macrounits. Macrounits logically self-organize information networks IN encoding the units in geometrical structures enclosing triplet code. Multiple IN binds their ending triplets which encloses observer information cognition and intelligence. The observer cognition assembles common units through multiple attraction and resonances at forming IN triplet hierarchy which accept only units that recognizes each IN node. Maximal number of accepted triplet levels in multiple IN measures the observer maximum comparative information intelligence. The observation process carries probabilistic and certain wave function which self-organizes the space hierarchical structures.The intelligent observer recognizes and encodes digital images in message transmission, being self-reflective enables understanding the message meaning. The cognitive logic self-controls encoding the intelligence coding structure. These functional regularities create united information mechanism whose integral logic self-operates, transforming interacting uncertainties to physical reality-matter, human information and designing AI.

Informational Macrodynamics (IMD) presents the unified information systemic approach with common information language for modeling, analysis and optimization of a variety of interactive processes, such as physical, biological, economical, social, and informational, including human activities.

Introduces the process' integral information measure, which has a distinctive difference from information approaches that use an entropy function. The mathematical formalisms and methods, implemented in the forms of computer models, algorithms and programs, provide tools for Information Systems' Modeling.

Informational Macrodynamics (IMD) presents the unified information systemic approach with common information language for modeling, analysis and optimization of a variety of interactive processes, such as physical, biological, economical, social, and informational, including human activities.