Irina Basieva

Dr. Irina Basieva

Russian Research Institute of Huawei Technologies, 119991 Moscow, Russia
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Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2011 in Journal of Theoretical Biology
Verified
Journal Article
Closed access
MAMasanari Asano
Masanari Asano
MOMasanori Ohya
Masanori Ohya
YTYoshiharu Tanaka
Yoshiharu Tanaka
Irina BasievaIrina Basieva
Irina Basieva
AKAndrei Khrennikov
Andrei Khrennikov

24 October 2014 in PLOS ONE
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Journal Article
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AKAndrei Khrennikov
Andrei Khrennikov
Irina BasievaIrina Basieva
Irina Basieva
EDEhtibar Dzhafarov
Ehtibar Dzhafarov
Jerome R BusemeyerJerome R Busemeyer
Jerome R Busemeyer
There has been a strong recent interest in applying quantum theory (QT) outside physics, including in cognitive science. We analyze the applicability of QT to two basic properties in opinion polling. The first property (response replicability) is that, for a large class of questions, a response to a given question is expected to be repeated if the question is posed again, irrespective of whether another question is asked and answered in between. The second property (question order effect) is that the response probabilities frequently depend on the order in which the questions are asked. Whenever these two properties occur together, it poses a problem for QT. The conventional QT with Hermitian operators can handle response replicability, but only in the way incompatible with the question order effect. In the generalization of QT known as theory of positive-operator-valued measures (POVMs), in order to account for response replicability, the POVMs involved must be conventional operators. Although these problems are not unique to QT and also challenge conventional cognitive theories, they stand out as important unresolved problems for the application of QT to cognition. Either some new principles are needed to determine the bounds of applicability of QT to cognition, or quantum formalisms more general than POVMs are needed.

1 March 2012 in Physica A: Statistical Mechanics and its Applications
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Journal Article
Closed access
MAMasanari Asano
Masanari Asano
Irina BasievaIrina Basieva
Irina Basieva
AKAndrei Khrennikov
Andrei Khrennikov
MOMasanori Ohya
Masanori Ohya
YTYoshiharu Tanaka
Yoshiharu Tanaka

4 July 2015 in Foundations of Physics
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Journal Article
Closed access
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MAMasanari Asano
Masanari Asano
Irina BasievaIrina Basieva
Irina Basieva
Andrei KhrennikovAndrei Khrennikov
Andrei Khrennikov
MOMasanori Ohya
Masanori Ohya
YTYoshiharu Tanaka
Yoshiharu Tanaka
IYIchiro Yamato
Ichiro Yamato

1 March 2021 in BioSystems
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Journal Article
Open access
Irina BasievaIrina Basieva
Irina Basieva
Andrei KhrennikovAndrei Khrennikov
Andrei Khrennikov
Masanao OzawaMasanao Ozawa
Masanao Ozawa
We present the novel approach to mathematical modeling of information processes in biosystems. It explores the mathematical formalism and methodology of quantum theory, especially quantum measurement theory. This approach is known as quantum-like and it should be distinguished from study of genuine quantum physical processes in biosystems (quantum biophysics, quantum cognition). It is based on quantum information representation of biosystem's state and modeling its dynamics in the framework of theory of open quantum systems. This paper starts with the non-physicist friendly presentation of quantum measurement theory, from the original von Neumann formulation to modern theory of quantum instruments. Then, latter is applied to model combinations of cognitive effects and gene regulation of glucose/lactose metabolism in Escherichia coli bacterium. The most general construction of quantum instruments is based on the scheme of indirect measurement, in that measurement apparatus plays the role of the environment for a biosystem. The biological essence of this scheme is illustrated by quantum formalization of Helmholtz sensation-perception theory. Then we move to open systems dynamics and consider quantum master equation, with concentrating on quantum Markov processes. In this framework, we model functioning of biological functions such as psychological functions and epigenetic mutation.

1 March 2011 in Open Systems & Information Dynamics
Verified
Journal Article
Closed access
MAMasanari Asano
Masanari Asano
MOMasanori Ohya
Masanori Ohya
YTYoshiharu Tanaka
Yoshiharu Tanaka
AKAndrei Khrennikov
Andrei Khrennikov
Irina BasievaIrina Basieva
Irina Basieva