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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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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
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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