Quantum fuzzy inference model as quantum control algorithm of self-organization (minimum entropy principle relative to quantum knowledge)
Автор: Barchatova Irina
Журнал: Сетевое научное издание «Системный анализ в науке и образовании» @journal-sanse
Статья в выпуске: 3, 2014 года.
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The structure of quantum fuzzy inference (QFI) model that realize the self-organization process are considered. QFI is one of possible realization of quantum control algorithm of the self-organization processes that includes all of these features: (i) superposition; (ii) selection of quantum correlation types; (iii) information transport and quantum oracle (dynamic evolution); and (iv) interference. QFI model is introduced based on thermodynamics and information-theoretic measures of agent interactions in communication space between macro- and micro-levels (the entanglement-assisted correlations in an active system represented by a collection of intelligent agents).
Quantum fuzzy inference, quantum control algorithm of self-organization, knowledge base, minimum entropy principle, intelligent control, unpredicted situation
Короткий адрес: https://sciup.org/14123245
IDR: 14123245
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