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Emergent Intelligence in Generalized Pure Quantum Systems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F22%3A00364122" target="_blank" >RIV/68407700:21260/22:00364122 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21730/22:00364122

  • Result on the web

    <a href="https://doi.org/10.3390/computation10060088" target="_blank" >https://doi.org/10.3390/computation10060088</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/computation10060088" target="_blank" >10.3390/computation10060088</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Emergent Intelligence in Generalized Pure Quantum Systems

  • Original language description

    This paper presents the generalized information system theory, which is enlarged into pure quantum systems using wave probability functions. The novelty of this approach is based on analogies with electrical circuits and quantum physics. Information power was chosen as the relevant parameter, which guarantees the balance of both components—information flow and information content. Next, the principles of quantum resonance between individual information components, which can lead to emergent behavior, are analyzed. For such a system, adding more and more probabilistic information elements can lead to better convergence of the whole to the resulting trajectory due to phase parameters. The paper also offers an original interpretation of information “source–recipient” or “resource–demand” models, including not yet implemented “unused resources” and “unmet demands”. Finally, possible applications of these principles are shown in several examples from the quantum gyrator to the hypothetical possibility of explaining some properties of the consciousness.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    20104 - Transport engineering

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

    2022

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Computation

  • ISSN

    2079-3197

  • e-ISSN

    2079-3197

  • Volume of the periodical

    10

  • Issue of the periodical within the volume

    6

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    13

  • Pages from-to

  • UT code for WoS article

    000818381100001

  • EID of the result in the Scopus database

    2-s2.0-85131751770