Informational macrodynamics (IMD) combines both the information description of the interacted information flows initiated by different data sources, and the information systemic approach, which unify the distinct interdisciplinary modelling concepts for a variety of objects of different natures. The IMD formalism builds a bridge between the mathematical modelling and systemic formalism with the world of information and information technologies to reveal the common information regularities of a variety of modelling objects with a final goal to expose a specific information code for each object. This text introduces the process' integral information measure, which has a distinctive difference from traditional information approaches that use an entropy function. The VP's minimax mathematical mechanisms formalize the regularities of the co-operative informational dynamics, connecting randomness and regularities, stochastic and determinism, reversibility and irreversibility, symmetry and nonsymmetry, stability and instability, regular and chaotic dynamics, thermodynamics and informational dynamics, time-reversible and time-irreversible processes, reveals the information dynamic mechanisms of evolution and development.
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"The Variation Principle In Informational Macrodynamics" (VP) introduces the process' integral information measure, which has a distinctive difference from traditional information approaches that use an entropy function. The VP's minimax mathematical mechanisms formalize the regularities of the cooperative informational dynamics, connecting randomness and regularities, stochastic and determinism, reversibility and irreversibility, symmetry and nonsymmetry, stability and instability, regular and chaotic dynamics, thermodynamics and informational dynamics, time-reversible and time-irreversible processes, reveals the information dynamic mechanisms of evolution and development. The mathematical formalisms and methods, implemented in the forms of computer models, algorithms and programs, provide new general tools for Information Systems' Modeling in such areas as biology, intelligent systems, computer and information technology, including communications, data modeling and data management.
"Variation Principle In Informational Macrodynamics", with its examples and applications, will meet the needs of a professional audience composed of researchers and practitioners in industry, as well as graduate-level students in computer science, mathematics and engineering."About this title" may belong to another edition of this title.
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Condition: New. 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. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 266 pages, biography. BIC Classification: GPJ; URY. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College); (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 17. Weight in Grams: 576. . 2003. Hardback. . . . . Seller Inventory # V9781402074653
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Condition: New. 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. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 266 pages, biography. BIC Classification: GPJ; URY. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College); (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 17. Weight in Grams: 576. . 2003. Hardback. . . . . Books ship from the US and Ireland. Seller Inventory # V9781402074653
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