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QUANTUM INFORMATICS AND SOFT SYSTEMS MODELING

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F20%3A00348853" target="_blank" >RIV/68407700:21260/20:00348853 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21730/20:00348853

  • Result on the web

    <a href="https://doi.org/10.14311/NNW.2020.30.010" target="_blank" >https://doi.org/10.14311/NNW.2020.30.010</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.14311/NNW.2020.30.010" target="_blank" >10.14311/NNW.2020.30.010</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    QUANTUM INFORMATICS AND SOFT SYSTEMS MODELING

  • Original language description

    This paper elaborates on the area of physical information analogies and introduces new features such as the distance between wave probabilistic functions or sets of new information quantities such as strength, strength moment, strength potential energy and generalized charge. New parameters are used to define the rules for a quantum node. The knowledge cycle, which is equivalent to the Otto thermodynamic cycle, is adopted for modeling of the soft systems together with its static and dynamic information stability. Looking at the closed knowledge cycle, the evolutionary field equivalent to a magnetic field is therefore determined.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • 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

    <a href="/en/project/EF15_003%2F0000466" target="_blank" >EF15_003/0000466: Artificial Intelligence and Reasoning</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Neural Network World

  • ISSN

    1210-0552

  • e-ISSN

  • Volume of the periodical

    30

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    12

  • Pages from-to

    133-144

  • UT code for WoS article

    000572849800003

  • EID of the result in the Scopus database

    2-s2.0-85092375652