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Variation Principle in Informational Macrodynamics

โœ Scribed by Dr. Vladimir S. Lerner Ph.D. (auth.)


Publisher
Springer US
Year
2003
Tongue
English
Leaves
277
Series
The Kluwer International Series in Engineering and Computer Science 736
Edition
1
Category
Library

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โœฆ Synopsis


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), with a restoration of the model during the objectobservations.

โœฆ Table of Contents


Front Matter....Pages I-XIII
The IMD Essence and Concepts....Pages 1-98
Mathematical Foundations of Informational Macrodynamics....Pages 99-200
Applications....Pages 201-255
Back Matter....Pages 257-266

โœฆ Subjects


Theory of Computation; Numeric Computing; Systems Theory, Control; Artificial Intelligence (incl. Robotics); The Computing Profession


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