Vladimir S. Lerner

Znalezienie drogi obserwacji tworzącej jej obserwatora jest ważnym problemem w fizyce i informatyce. W procesach obserwacyjnych, każda obserwacja zmienia proces obserwacji, kt ry generuje interaktywną obserwację. Każda interakcja jest dyskretna Tak-Nie-Bit modelowania impuls w. Powtarzające się interakcje niezależne od natury fizycznej są zjawiskiem informacji. Impulsy konwersji entropii do informacji integruje ścieżkę funkcjonalną. Zasada maksymalnej minimalnej zmienności formuluje interaktywne r wnania informacyjne. Lączące się dzialania Tak-Nie generują mikroprocesorowy przebieg superpozycji sprzężonych entropii zaplątanych w przedziale czasu w tworzących się interwalach przestrzennych. Ruchome Bity same tworzą potr jne jednostki (UP) makroprocesu informacyjnego przyciągając nowe UP poprzez wolną informację. Wiele UP przylega do sieci hierarchicznej (IN), kt rej wolne informacje wytwarzają nowy UP w węźle wyższego poziomu i kodują logikę potr jnego kodu. Każde unikalne polożenie UP w hierarchii IN określa polożenie każdej struktury logicznej kodu. Hierarchiczny poziom węzla IN klasyfikuje jakośc zlożonej informacji. Końcowy węzel IN obejmuje wszystkie poziomy IN.

Trovare il percorso di osservazione che crea il suo osservatore un problema importante nella fisica e nella scienza dell'informazione. Nei processi di osservazione, ogni osservazione sta cambiando il processo di osservazione che genera l'osservazione interattiva. Ogni interazione discreta S -No impulso modellazione Bit. Le interazioni ricorrenti, indipendenti dalla natura fisica, sono fenomeni di informazione. Il principio della variazione minima massima formalizza le equazioni interattive dell'informazione. Le azioni di fusione S -No generano la sovrapposizione di microprocessi in esecuzione di microprocessi di entropie coniugate che si aggrovigliano durante l'intervallo di tempo all'interno di intervalli di spazio formando intervalli di spazio.i Bit in movimento formano unit triple (UP) di macro processo informativo che attraggono nuove UP attraverso informazioni libere. Pi UP adiacenti alla rete gerarchica (IN) la cui informazione libera produce nuovi UP al livello superiore del nodo e codifica la logica del codice triplo. Ogni posizione UP unica nella gerarchia IN definisce la posizione di ogni struttura logica del codice.

The interactive yes-no actions, modeling elementary bits, reveal information as phenomenon of interaction. The impulse encoding merges memory with the time of memorizing information and compensates the memory cost by running time intervals of encoding. Multiple interactions generate a code of the interacting process. In natural processes, interacting through impulses with gradient of temperatures, emerges information and physical process producing code analogous to DNA. The found mathematical, information, and thermodynamic conditions of generation logical information bits, their memorizing and encoding in helix triplet code.

Information Macrodynamics (IMD) belong to an interdisciplinary science that represents a new theoretical and computer-based methodology for a system informational descriptionand improvement,including various activities in such areas as thinking, intelligent processes, communications, management, and other nonphysical subjects with their mutual interactions, informational superimposition, and theinformation transferredbetweeninteractions. The IMD is based on the implementation of a single concept by a unique mathematical principle and formalism, rather than on an artificial combination of many arbitrary, auxiliary concepts and/or postulates and different mathematical subjects, such as the game, automata, catastrophe, logical operations theories, etc. This concept is explored mathematically using classical mathematics as calculus of variation and the probability theory, which are potent enough, without needing to developnew,specifiedmathematical systemicmethods. The formal IMD model automatically includes the related results from other fields, such as linear, nonlinear, collective and chaotic dynamics, stability theory, theory of information, physical analogies of classical and quantum mechanics, irreversible thermodynamics, andkinetics. The main IMD goal is to reveal the information regularities, mathematically expressed by the considered variation principle (VP), as a mathematical tool to extractthe regularities and define the model, whichdescribes theregularities. The IMD regularities and mechanisms are the results of the analytical solutions and are not retained by logical argumentation, rational introduction, and a reasonable discussion. The IMD's information computer modeling formalism includes a human being (as an observer, carrier and producer ofinformation), witha restoration of the model during the objectobservations.

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. Comparing it with thermodynamics, which deals with transformation energy and represents a theoretical foundation of physical technology, IMD deals with transformation information, and can be considered a theoretical foundation of Information Computer Technology (ICT). ICT includes but is not limited to applied computer science, computer information systems, computer and data communications, software engineering, and artificial intelligence. In ICT, information flows from different data sources, and interacts to create new information products. The information flows may interact physically or via their virtual connections, initiating an information dynamic process that can be distributed in space. As in physics, a problem is understanding general regularities of the information processes in terms of information law, for the engineering and technological design, control, optimization, and development of computer technology, operations, manipulations, and management of real information objects. Information Systems Analysis and Modeling: An Informational Macrodynamics Approach belongs to an interdisciplinary science that represents the new theoretical and computer-based methodology for system informational description and improvement, including various activities in such interdisciplinary areas as thinking, intelligent processes, management, and other nonphysical subjects with their mutual interactions, informational superimpositions, and the information transferred between interactions. Information Systems Analysis and Modeling: An Informational Macrodynamics Approach can be used as a textbook or secondary text in courses on computer science, engineering, business, management, education, and psychology and as a reference for research and industry.

The book subject is mathematical formalism, describing the creation of the dynamic and information regularities from stochastics. The formalism is based on the introduction of an informational path functional, defined on trajectories of a controlled random process, and the solution of variation problem for this novel functional. The solution provides both the information dynamic model of a random process and the model of optimal control. This allows building a two-level information model with a random process at the microlevel and a dynamic process at macrolevel. Considering a variation principle (VP) as a mathematical form that expresses some regularity, it is assumed that the VP extremals, represented by the solutions of the above dynamic model, describe a movement possessing these regularities. Such an approach has been used by R. P. Feynman, who introduced the functional on trajectories of an electron's movement and applied the variation principle for this path functional to obtain the equations of quantum mechanics. Feynman's path functional is defined on the dynamic trajectories and has not been applied to trajectories of a random process.

Information Macrodynamics (IMD) belong to an interdisciplinary science that represents a new theoretical and computer-based methodology for a system informational descriptionand improvement,including various activities in such areas as thinking, intelligent processes, communications, management, and other nonphysical subjects with their mutual interactions, informational superimposition, and theinformation transferredbetweeninteractions. The IMD is based on the implementation of a single concept by a unique mathematical principle and formalism, rather than on an artificial combination of many arbitrary, auxiliary concepts and/or postulates and different mathematical subjects, such as the game, automata, catastrophe, logical operations theories, etc. This concept is explored mathematically using classical mathematics as calculus of variation and the probability theory, which are potent enough, without needing to developnew,specifiedmathematical systemicmethods. The formal IMD model automatically includes the related results from other fields, such as linear, nonlinear, collective and chaotic dynamics, stability theory, theory of information, physical analogies of classical and quantum mechanics, irreversible thermodynamics, andkinetics. The main IMD goal is to reveal the information regularities, mathematically expressed by the considered variation principle (VP), as a mathematical tool to extractthe regularities and define the model, whichdescribes theregularities. The IMD regularities and mechanisms are the results of the analytical solutions and are not retained by logical argumentation, rational introduction, and a reasonable discussion. The IMD's information computer modeling formalism includes a human being (as an observer, carrier and producer ofinformation), witha restoration of the model during the objectobservations.

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. Comparing it with thermodynamics, which deals with transformation energy and represents a theoretical foundation of physical technology, IMD deals with transformation information, and can be considered a theoretical foundation of Information Computer Technology (ICT). ICT includes but is not limited to applied computer science, computer information systems, computer and data communications, software engineering, and artificial intelligence. In ICT, information flows from different data sources, and interacts to create new information products. The information flows may interact physically or via their virtual connections, initiating an information dynamic process that can be distributed in space. As in physics, a problem is understanding general regularities of the information processes in terms of information law, for the engineering and technological design, control, optimization, and development of computer technology, operations, manipulations, and management of real information objects. Information Systems Analysis and Modeling: An Informational Macrodynamics Approach belongs to an interdisciplinary science that represents the new theoretical and computer-based methodology for system informational description and improvement, including various activities in such interdisciplinary areas as thinking, intelligent processes, management, and other nonphysical subjects with their mutual interactions, informational superimpositions, and the information transferred between interactions. Information Systems Analysis and Modeling: An Informational Macrodynamics Approach can be used as a textbook or secondary text in courses on computer science, engineering, business, management, education, and psychology and as a reference for research and industry.