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Information Physics: Physics-Information and Quantum Analogies for Complex Systems Modeling

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F21%3A00357562" target="_blank" >RIV/68407700:21260/21:00357562 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21730/21:00357562

  • Result on the web

    <a href="https://doi.org/10.1016/C2020-0-02896-3" target="_blank" >https://doi.org/10.1016/C2020-0-02896-3</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/C2020-0-02896-3" target="_blank" >10.1016/C2020-0-02896-3</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Information Physics: Physics-Information and Quantum Analogies for Complex Systems Modeling

  • Original language description

    Information Physics: Physics-Information and Quantum Analogies for Complex Modeling presents a new theory of complex systems that uses analogy across various aspects of physics, including electronics, magnetic circuits and quantum mechanics. The book explains the quantum approach to system theory that can be understood as an extension of classical system models. The main idea is that in many complex systems there are incomplete pieces of overlapping information that must be strung together to find the most consistent model. This incomplete information can be understood as a set of non-exclusive observer results. Because they are non-exclusive, each observer registers different pictures of reality.

  • Czech name

  • Czech description

Classification

  • Type

    B - Specialist book

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • ISBN

    978-0-323-91011-8

  • Number of pages

    140

  • Publisher name

    Academic Press Elsevier

  • Place of publication

  • UT code for WoS book