Variation Principle in Informational Macrodynamics:
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...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston, MA
Springer US
2003
|
| Schriftenreihe: | The Kluwer International Series in Engineering and Computer Science
736 |
| Schlagworte: | |
| Online-Zugang: | FHI01 BTU01 URL des Erstveröffentlichers |
| Zusammenfassung: | 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 |
| Beschreibung: | 1 Online-Ressource (XIII, 266 p) |
| ISBN: | 9781461504016 |
| DOI: | 10.1007/978-1-4615-0401-6 |
Internformat
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| 520 | |a 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 | ||
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Datensatz im Suchindex
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| any_adam_object | |
| author | Lerner, Vladimir S. |
| author_facet | Lerner, Vladimir S. |
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| dewey-full | 004.0151 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 004 - Computer science |
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| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| doi_str_mv | 10.1007/978-1-4615-0401-6 |
| format | Electronic eBook |
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| isbn | 9781461504016 |
| language | English |
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| spelling | Lerner, Vladimir S. Verfasser aut Variation Principle in Informational Macrodynamics by Vladimir S. Lerner Boston, MA Springer US 2003 1 Online-Ressource (XIII, 266 p) txt rdacontent c rdamedia cr rdacarrier The Kluwer International Series in Engineering and Computer Science 736 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 Computer Science Theory of Computation Numeric Computing Systems Theory, Control Artificial Intelligence (incl. Robotics) The Computing Profession Computer science Computers Numerical analysis Artificial intelligence System theory Erscheint auch als Druck-Ausgabe 9781461350583 https://doi.org/10.1007/978-1-4615-0401-6 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Lerner, Vladimir S. Variation Principle in Informational Macrodynamics Computer Science Theory of Computation Numeric Computing Systems Theory, Control Artificial Intelligence (incl. Robotics) The Computing Profession Computer science Computers Numerical analysis Artificial intelligence System theory |
| title | Variation Principle in Informational Macrodynamics |
| title_auth | Variation Principle in Informational Macrodynamics |
| title_exact_search | Variation Principle in Informational Macrodynamics |
| title_full | Variation Principle in Informational Macrodynamics by Vladimir S. Lerner |
| title_fullStr | Variation Principle in Informational Macrodynamics by Vladimir S. Lerner |
| title_full_unstemmed | Variation Principle in Informational Macrodynamics by Vladimir S. Lerner |
| title_short | Variation Principle in Informational Macrodynamics |
| title_sort | variation principle in informational macrodynamics |
| topic | Computer Science Theory of Computation Numeric Computing Systems Theory, Control Artificial Intelligence (incl. Robotics) The Computing Profession Computer science Computers Numerical analysis Artificial intelligence System theory |
| topic_facet | Computer Science Theory of Computation Numeric Computing Systems Theory, Control Artificial Intelligence (incl. Robotics) The Computing Profession Computer science Computers Numerical analysis Artificial intelligence System theory |
| url | https://doi.org/10.1007/978-1-4615-0401-6 |
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