CC BY
10
УДК 007.51 + 519.72
DOI: 10.25559/SITITO.14.201802.382-388
HARTLEY AND LKLB-PROCESS MEASURES: USE IN PSYCHOLOGICAL AND EDUCATIONAL TESTING
Nadezhda I. Demkina, Igor V. Bashelhanov, Vladlena S. Oladko
Financial University under the Government of the Russian Federation, Moscow, Russia
МЕРЫ ХАРТЛИ И ЛКЛБ-ПРОЦЕССА: ИСПОЛЬЗОВАНИЕ В ПСИХОЛОГИЧЕСКОМ И ОБРАЗОВАТЕЛЬНОМ ТЕСТИРОВАНИИ
Н.И. Демкина, И.В. Башелханов, В.С. Оладько
Финансовый университет при Правительстве Российской Федерации, г. Москва, Россия
© Demkina N.I., Bashelhanov I.V., Oladko V.S., 2018
Keywords
Abstract
Hartley measure; LKLB-process measure; decision making; psychology; intuition; rational decision; intuitive decision; psychological testing; educational testing; new method.
The problems of social analytics and decision-making on the management of complex information and economic structures are increasingly determined by human factors. The difficulty in regulating and recognizing information is determined by the unpredictability of the effects of new technologies on the psychophysical characteristics of man as an element of society. Therefore, of particular relevance is study of existing approaches and development of new approaches to testing and drawing up a psychological profile for socio-technical systems. The authors described the use of the Hartley information measure and the LKLB process in psychological and educational testing. The diagram of socio-technical system concept model and a description of its main elements are presented. One type of socio-technical systems are man-machine systems. Authors put forward the hypothesis that every socio-technical system has a psychological profile associated with the cognitive abilities and psychological compatibility of participants in the system. This profile influences the decision-making process of the subject in the human-machine system. The algorithm for conducting an experimental investigation of the hypothesis on the human-machine system example was developed. The authors presented and explained the graphical results of the experiment for four man-machine systems. The study confirmed that every socio-technical system in solving the problem of decision-making has its psychological and educational profile. The psychological compatibility of the moderator and the slave (tested, for example, the learner) affected this profile, in addition, there is a «non-commutativity» of the results of the slave and the leader. In practice, you can use the psychological and educational profile in forecasting the results of decision-making in the socio-technical system, in the identification of the infringer of information security, in developing a model and interpreting the behavior of the human subject-machine system.
Ключевые слова
Abstract
Мера Хартли, мера ЛКЛБ-про-цесса, принятие решения, психология, интуиция, рациональное решение, интуитивное решение, психологическое тестирование, образовательное тестирование, новый метод.
Проблемы социальной аналитики и принятия решений по управлению сложными информационными и экономическими структурами все чаще обуславливаются человеческими факторами. Сложность в регулировании и распознавании информации определяется непредсказуемостью воздействий новых технологий на психофизические особенности человека как элемента социума. Поэтому особую актуальность приобретает исследование существующих и разработка новых подходов к тестированию и составлению психологического профиля для социотехнических систем. В статье дано описание использования информационной меры Хартли и ЛКЛБ-процесса в психологическом и образовательном тестировании. Представлена схема концептуальной модели социотехнической системы и ее описаны основные элементы. Показано, что одним из видов социотехнических систем являются человеко-машинные системы. Выдвинута
Abouttheauthorsflll^MgH
Nadezhda I. Demkina, Ph.D. (Economics), Director of the College of Informatics and Programming, Financial University under the Government of the Russian Federation (49 Leningradsky Prospekt, Moscow 125993, Russia), ORCID: http://orcid.org/0000-0003-4312-185X, nidemkina@fa.ru Igor V. Bashelhanov, Candidate of Physical and Mathematical Sciences, lecturer, Financial University under the Government of the Russian Federation (49 Leningradsky Prospekt, Moscow 125993, Russia), ORCID: http://orcid.org/0000-0001-8413-7722, greeceer@mail.ru
Vladlena S. Oladko, Candidate of Technical Sciences, lecture of the Information Security Department, Financial University under the Government of the Russian Federation (49 Leningradsky Prospekt, Moscow 125993, Russia), ORCID: http://orcid.org/0000-0003-0500-8928, vsoladco@fa.ru
Современные информационные технологии и ИТ-образование
гипотеза, что каждая социотехническая система имеет свой психологический профиль, тесно связанный с когнитивными способностями и психологической совместимостью участников системы и оказывающий влияние на процесс принятия решений в ней. Разработан алгоритм проведения экспериментального исследования выдвинутой гипотезы на примере человеко-машинной системы. Приведены графические результаты эксперимента для четырех человеко-машинных систем. Результаты проведенного исследования подтвердили, что каждая социотехническая система при решении задачи принятия решений имеет свой психологический и образовательный профиль, на который влияет психологическая совместимость ведущего (модератора) и ведомого (тестируемого, например, обучающегося) человека, кроме того имеет место «некоммутативность» результатов ведомого и ведущего. На практике, предложенный подход к тестированию может быть использован при прогнозировании результатов принятия решений в социотехнической системе и интерпретации поведения субъектов.
Introduction
The development of software and the ubiquitous use of human-computer automated systems for managing key business processes are inextricably linked with the constant processing of large data sets and issuance of management decisions based on them. The decision-making process can be formalized through fuzzy logic [1] and often requires the participation of the decision maker (DM). The type of decision taken depends on the intuition of the decision-maker, experience, knowledge and qualifications, as well as limited in time and resources, which in turn affects the probability of making erroneous decisions [2]. Recognition of information and making decisions on its basis plays a key role in psychology, psychology of education, psychophysiology, psychophysics, intuition studies [3], living intellect [4], in the theory and practice of quantum informatics, quantum logic, quantum, biological and neuro- computing [5 ± 10], in the study of the "quantum" properties of the brain [11], quantum intelligence, quantum sociophysics, quantum learning with reinforcement [12-18]. The works of recent years increasingly show the correctness of A.N. Kolm-ogorov, R.Hartley, K.Shannon and other researchers who drew attention to some limitations of the "classical" theory of information, which leads, among other things, to the current problems of the uncomple-mentarity of social and computer-technical networks, as well as CCD paradoxes and problems of information security [19]. In this paper, a sociotechnical human-machine system based on the principle of "Man-Man-Machine" was chosen as the object of research. The study topic is the process of human decision making in a given socio-technical system. The scientific novelty of the work consists in analyzing the psychological profile of the human machine system with the help of the LKLB-process (information anomaly) according to the Hartley-Shannon-Church-Turing model [20].
Goal of research
The aim of the work is to demonstrate the possibilities of a new testing method for determining the psychological and educational profile of a person, based on the recently discovered LCLB process [20] and its comparison with the Hartley model.
The main goal of the work is demonstration of a new testing method for determining the psychological and educational profile of a person, based on the recently discovered LCLB process [20] and its comparison with the Hartley model. To achieve this goal, a research hypothesis was formulated that each socio-technical system has its own psychological profile, closely related to the cognitive abilities and psychological compatibility of participants in the system and influ-
encing the decision-making process in it. To test the research hypothesis, the following tasks were solved:
1. Identification of structural elements of the socio-technical system;
2. Determination of the measure of the amount of information in the socio-technical system;
3. Setting the task for the socio-technical system "Human-Human Machine (Pseudo-random number generator-GPRS)" and the definition of the conditions for experimental research;
4. Comparison of the results of solving the problem posed to the socio-technical system "Man-Man-Machine" with the Hartley model.
A certain psychological and educational profile, in practice, can be used in forecasting the results of decision making in the socio-techni-cal system, as well as in the identification of the infringer of information security (IB) [21], in developing his model and interpreting the behavior [22, 23].
Materials and methods of research
As the main research methods in the performance of the work we used: the method of description, system analysis, analogy and generalization, elements of information theory and decision-making. And also the results of the investigation of the information anomaly (called the LCLB process) and the competition (in the higher nervous activity of a person) of processes occurring according to the Hartley-Shannon-Church-Turing model with quantum-like processes arising under special conditions [25]. When checking the research hypothesis, the socio-technical system "Human-Human Machine (Pseudorandom Number Generator-GPRS)" was analyzed, data on the decisions made by the person (element of the system) obtained in the experiments described by the authors in [20, 25].
Theoretical analysis
Developing the views on socio-technical systems, their functions and structure takes its origins from the studies of E. Trist and K. Bamforth of the Tavistock Institute [26] and D. Helridzhel [27], according to which the socio-technical system is a set of continuously interacting with each other and the surrounding (means of automation, storage and transmission of data and technological processes.) and social elements (the human factor - operators, decision-makers) (see Figure 1). Consequently, any human-machine system can be classified as a so-cio-technical system.
Modern Information Technologies and IT-Education
External and internal environment
TECHNICAL SUBSYSTEM
1 -E Ici + E IPj= log2 N
• J (2) where I - the amount of information required to solve the problem,
14
E 'r
- the sum of sources of counterproductive (c) information,
J - the sum of sources of productive (p) information, N - the power of set of problem goals. Expressing the "two sums" through the power (formula 3) we get:
N
n
1 = log.
П N
x N
(3)
where the numerator is the product of the powers of the sets of sources of counterproductive information, and the denominator is the product of the powers of the sets of sources of productive information.
Fig. 1. Conceptual model of the socio-technical system Рис. 1. Концептуальная модель социотехнической системы
In terms of managing and decision-making - it is a set of interrelated elements whose behavior and knowledge contribute to the characteristics of the whole system as a whole. The more information each component of the system has, the less uncertainty in its solutions. In the information theory, the basic model in the form of the Hartley measure [24] is known, which is expressed by the following formula 1:
I=log2N (1)
where N is the number of values, I is the amount of information (in bits). The measure allows you to determine how many questions (information bits) will be required to determine one of the possible values. Figure 2 shows a graphical representation of the classical Hartley model (direct line) for solving the situational problem of determining the number and the information anomaly found during the empirical tests (polyline).
This abnormal process ("LKLB process") was first detected and observed in certain cases (in the experiment with women). The "straight line" of the Hartley model is a "tectological boundary" (in the sense of A.A. Bogdanov). In order to explain the abnormality of the "polyline" behavior, I.V. Bashelkhanov, in [25], proposed a measure of information for sociophysical (sociotechnical) systems, expressed by formulas 2 and 3:
Fig. 2. Graphical representation of the information anomaly of the Hartley model. The "straight line" - the Hartley model ("circles" - data for determining the number of male men - Men), "polyline" through "points" ("LKLB process") - data on the number of females (Women: Nigina - Valeria). Characteristic absolute errors in
solving the situational problem are also indicated. Рис. 2. Графическое представление информационной аномалии модели Хартли. «Прямая линия» - модель Хартли («кружки» - данные по определению числа лицами мужского пола - Men), «Ломаная линия» через «точки» («ЛКЛБ-процесс») - данные по определению числа лицами женского пола (Women: Нигина-Валерия). Указаны также характерные абсолютные ошибки при решении ситуационной задачи.
We made a comparison of the results of the solution of the task posed to the socio-technical system "Man-Man-Machine" with the Hartley model. In the experiment, a random natural number was assigned (using the Machine and the first person who will be the moderator of the experiment), which the second person (the test person) had to determine by a sequence of questions assigned to the first person. Four models of the socio-technical system were compiled and used to perform the research (see Table 1).
The algorithm of the experiment included the following sequence of steps:
1. Selection of the socio-technical system;
2. Generation of PRNG of a random natural number;
3. Presenting the number to the moderator;
4. Determination of the value of the generated natural number by the test, using a sequence of questions.
5. Determination of the time value and amount of information spent to determine the correct value of the number.
6. Comparison of the obtained empirical data with the analytical model of Hartley.
Современные информационные технологии и ИТ-образование
Table 1. Description of the experimental models of Man-Man-Machine Таблица 1. Описание экспериментальных моделей Человек-Человек -Машина
№ Sociological Model (Man-Man-Machine) Description
1 Nigina-Aisa-pseudo-random number generator Two social elements are women (a moderator tested: Nigina or Aisa) and a technical element: a pseudo-random number generator.
Aisa-Nigina-pseudorandom number generator
2 Aza-male-pseudorandom number generator Two social elements are a man (moderator), a woman (tested: Isa) and a technical element: a pseudo-random number generator.
3 Aise-woman-generator of pseudorandom numbers Two social elements - a woman (moderator), a woman (tested: Alexandra) and a technical element: a pseudo-random number generator (PRNG).
Experimental part
The results of this experimental study for each socio-technical system are shown in the graphical diagrams (Figures 3 - 5) where the logarithms N on the base 2 are plotted at the x-axis and the amount of information for obtaining the correct answer is plotted at the y-axis (the " straight line " Hartley model, "polyline" -experiment).
log N
/
/
/
/
/
/
/
/
y
/
/
/ /
/ /
/ ■
/
/ /
/
/
/
/ /
\
\
•y
/
О 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 log M X -АБ —•—
Fig. 4. The amount of information spent in determining the number of the Aisa-Men-PRNG system
Рис. 4. Количество информации, затраченное при определении числа системой Айза-Men-ГПСЧ
(а )
„ /
/
/
/
/ /
/ /
/ /
/
/ /
/ /
« / /
/
/
/
/ /
• / /
/ /
/
/ 7
/
/
/
/
/
/
1
/
/
12 3 4 5 6 7t
(б)
Fig. 3. The amount of information spent to determine the number of the Nigina-Isa-PRNG (a) system and the Aisa-Nigina- PRNG (b) Рис. 3. Количество информации затраченное для определения числа системой Нигина-Айза-ГПСЧ (а) и системой Айза-Нигина-ГПСЧ (б)
(а)
Fig. 5. The amount of information (a) and the time in seconds (b) spent for determining the number of the Alexander-Women- PRNG system Рис. 5. Количество информации (а) и время в секундах (б) затраченное для определения числа системой Александра-Women-rnCH
Modern Information Technologies and IT-Education
(б)
Fig. 5. The amount of information (a) and the time in seconds (b) spent for determining the number of the Alexander-Women- PRNG system Рис. 5. Количество информации (а) и время в секундах (б) затраченное для определения числа системой Александра-Women-ГПСЧ
When proposing his formula, R. Hartley stressed that he completely excludes psychological factors. On our graphs-schemes, we clearly observe the factors excluded by Hartley. The actions of the latter are sufficiently stable and non-trivial so as not to be a "statistical noise", etc. When comparing the data obtained experimentally with the Hartley measure, it can be concluded that only in some cases the model of the socio-technical system "Man-Man-Machine" is approximated to analytical values when making a decision, which indicates competition (in higher human nervous activity) which occur according to the Hartley-Shannon-Church-Turing model with quantum-like processes arising under special conditions. The males in all the studied cases of solving situational problems acted rationally, within the limits of absolute error, according to the Hartley model. The females acted rationally (in certain intervals of the determined numbers) and intuitively (according to Vasilyeva I.V., the results are below the conditional "direct Hartley" -if there are sources of productive information). In addition, in a significant number of cases, the behavior of the tested person reflects the dominance of sources of counterproductive information in the solution of the situational problem under conditions such as stresses (results above the conditional "direct Hartley") - the detection of which is extremely important for ensuring security identifying psychological and educational compatibility, etc. in man-machine systems.
Conclusion
From the study carried out by the authors it follows that each human-machine system has its own psychological and educational profile allowing one to detect the cognitive and educational abilities of the moderator, the slave (a person tested to identify the psychological and educational profile). Psychological compatibility of the leader (moderator) and the slave (tested, for example, learning) person. The data of our studies show that there is a "noncommutativity" of the results of the slave and the leader in the socio-technical system. The "confusion" of the states of the slave and the leader is manifested in rare cases - in cases of psychological and other compatibility. Thus, in this paper, a new, simple enough method of psychological and educational testing based on the LKLB process is proposed.
References
[1] Lam H.-K., Leung F.H.F. Stability Analysis of Fuzzy-Model-Based Control Systems: Linear-Matrix-Inequality Approach. Springer-Verlag Berlin Heidelberg, 2011. 226 p. DOI: 10.1007/978-3-642-17844-3
[2] Dulenko V.A., Pestrikov V.A., Kurochkina K.V. The methodology of formation and replenishment of the basis of typical situations in decision support systems for ensuring information security. Vestnik UGATU. 2014; 18(3):270-275. Available at: https://elibrary.ru/item.asp?id=22670819 (accessed 15.05.2018). (In Russian)
[3] Vasilieva I.V. Theoretical contradictions in the definition of the phenomenon of intuition. Izvestiya of Saratov University. New Series. Ser. Educational Acmeology. Developmental Psychology. 2015; 4(1):27-30. Available at: https://elibrary.ru/ item.asp?id=23798400 (accessed 15.05.2018). (In Russian)
[4] Krushinsky L.A. Biophysical aspects of rational activity. Formation of animal behavior in norm and pathology: To the 100th anniversary of L.V. Krushinsky's birth (1911-1984) / Comp. I.I. Poletaeva, Z.A. Zorina. Moscow: Languages of Slavic Culture, 2013. pp. 424-436. (In Russian)
[5] Perry R. Elementary Introduction to Quantum Computing. Dolgoprudny: Publishing House "Intellect", 2018. 208 p. (In Russian)
[6] Guts A.K. Fundamentals of quantum cybernetics. Moscow: LENAND, 2017. 216 p. (In Russian)
[7] Voronov V.K., Podopelov A.V. Physics at the turn of millennia: The physics of self-organizing and ordered systems. New objects of atomic and nuclear physics. Quantum information. The origin of life and thinking from the point of view of modern physics. M.: KomKniga, 2013. 512 p. (In Russian)
[8] Sobolev A.N., Kirillov V.M., Kiselev A.V. Physical basis of advanced computer technology and information security. Moscow: Helios ARV, 2012. 256 p. (In Russian)
[9] Chen G., Pham T.T. Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems. Boca Raton: CRC Press, 2001. 328 p.
[10] Driankov D., Hellendorm H., Reich Frank M. An introduction to fuzzy control. Springer-Verlag Berlin Heidelberg, 1996. 316 p. DOI: 10.1007/978-3-662-03284-8
[11] Matthew P.A. Fisher. Quantum cognition: The possibility of processing with nuclear spins in the brain. Annals of Physics. 2015; 362:593-602. DOI: 10.1016/j.aop.2015.08.020
[12] Khrennikov A. Classical and quantum mechanics on information spaces with applications to cognitive, psychological, social and anomalous phenomena. Foundations of Physics. 1999; 29(7):1065-1098. DOI: 10.1023/A:1018885632116
[13] Khrennikov A. Ubiquitous quantum structure: from psychology to finance. Springer-Verlag Berlin Heidelberg, 2010. 216 p. DOI: 10.1007/978-3-642-05101-2
[14] Grib A.A., Rodrigues Jr.W.A. Nonlocality in Quantum Mechanics. Springer US, 1999. 225 p. DOI: 10.1007/978-1-46154687-0
[15] Melkikh A.V. The No Free Lunch Theorem and hypothesis of instinctive animal behavior. Artificial Intelligence Research. 2014; 3(4):43-63. DOI: 10.5430/air.v3n4p43
[16] Melkikh A.V. Congenital programs of the behavior and nontrivial quantum effects in the neurons work. Biosystems. 2014; 119:10-19. DOI: 10.1016/j.biosystems.2014.03.005
[17] Melkikh A.V., Meijer D.F.K. On a generalized Levinthal's para-
Современные информационные технологии и ИТ-образование
Cognitive information technologies in control systems
dox: The role of long- and short range interactions in complex bio-molecular reactions, including protein and DNA folding. Progress in Biophysics and Molecular Biology. 2018; 132:5779. DOI: 10.1016/j.pbiomolbio.2017.09.018 Silver D. Mastering the game of Go with deep neural networks and tree search. Nature. 2016; 529:484-489. DOI: 10.1038/ nature16961
Bashelhanov I.V. Problems of Nonlinear Effects in the Digital Economy. Proceedings of the VIII International Conference "IT-STANDARD 2017". 2017. pp. 180-191. (In Russian) Bashelhanov I.V., Demkina N.I. The Hartley Model and the Quantum-like Decision-Making Mechanism. Proceedings of the First International Interdisciplinary Conference "Cognitive Technologies and Quantum Intellect". SPb: "WRITE PRINT GROUP" LLC. pp. 101-106. (In Russian) Minakova N.N., Sedyadkina E.V. Screening of the intruder in information security systems. Izvestiya of Altai State University. 2010; 1-1:143 - 145. Available at: http://elibrary.ru/item. asp?id=15484190 (accessed 15.05.2018). (In Russian) Barinov S.V. Criminalistic characteristics of the personality of a criminal who commits violations of privacy in cyberspace. Siberian criminal procedural and criminalistic reading. 2015; 2(8):111 -117. Available at: http://elibrary.ru/item.as-p?id=25440409 (accessed 15.05.2018). (In Russian) Drovnikova I.G. Socio-psychological portrait of the violator in the security system. Technology of technosphere safety. 2008; 3:6. Available at: http://elibrary.ru/item.asp?id=14779193 (accessed 15.05.2018). (In Russian)
Hartley R. Transmission of Information // Theory of Information and its Applications / Collection of Translations, ed. A.A. Kharkevich. Moscow: Gos. publishing house in the physical area. Literature, 1959. pp. 5-35. (In Russian) Bashelhanov I.V. Hartley's measure and anomalies in the so-ciophysical experiment. Proceedings of the Ilnd All-Russian Conference "Sociophysics and Socioengineering". Moscow, Institute for Control Sciences, Russian Academy of Sciences, May 23-25, 2018. Available at: http://soc-phys.ipu.ru/ node/11285 (accessed 15.05.2018). (In Russian) Trist E.L., Bamforth K.W. Some Social and Psychological Consequences of the Long Wall Method of Coal-Getting. Human Relations. 1951; 4(1):3-38. DOI: 10.1177/001872675100400101 Hellriegel D. Organizational behavior. Part III / Don Hellriegel, John W. Slocum, Jr., Richard W. Woodman. 7th ed. Minneapolis/St. Paul: West Pub. Co., 1995. Pp. 551-557.
Submitted 15.05.2018; revised 10.06.2018; published online 30.06.2018.
Список использованных источников
[1] Lam H.-K., Leung F.H.F. Stability Analysis of Fuzzy-Model-Based Control Systems: Linear-Matrix-Inequality Approach. Springer-Verlag Berlin Heidelberg, 2011. 226 p. DOI: 10.1007/978-3-642-17844-3
[2] Дуленко В.А., Пестриков В.А., Курочкина К.В. Методика формирования и пополнения базиса типовых ситуаций в системах поддержки принятия решений по обеспечению информационной безопасности // Вестник УГАТУ 2014. Т. 18, № 3(64). С. 270-275. URL: https://elibrary.ru/item.
[18]
[19]
[20]
[21] [22]
[23]
[24]
[25]
[26] [27]
asp?id=22670819 (дата обращения: 15.05.2018).
[3] Васильева И.В. Теоретические противоречия в определении феномена интуиции // Известия Саратовского университета. Новая серия. Акмеология образования. Психология развития. 2015. Т. 4, вып. 1(13). С. 27-30. URL: https://elibraryru/item.asp?id=23798400 (дата обращения: 15.05.2018).
[4] Крушинский А.Л. Биофизические аспекты рассудочной деятельности // Формирование поведения животных в норме и патологии: К 100-летию со дня рождения Л.В. Крушинского (1911-1984) / Сост. И.И. Полетаева, З.А. Зорина. М.: Языки славянской культуры, 2013. С. 424-436.
[5] Перри Р. Элементарное введение в квантовые вычисления. Долгопрудный: Издательский Дом «Интеллект», 2018. 208 с.
[6] Гуц А.К. Основы квантовой кибернетики. М.: ЛЕНАНД, 2017. 216 с.
[7] Воронов В.К., Подоплелов А.В. Физика на переломе тысячелетий: Физика самоорганизующихся и упорядоченных систем. Новые объекты атомной и ядерной физики. Квантовая информация. Происхождение жизни и мышления с точки зрения современной физики. М.: КомКни-га, 2013. 512 с.
[8] Соболев А.Н., Кириллов В.М., Киселев А.В. Физические основы перспективной вычислительной техники и обеспечения информационной безопасности. М.: Гелиос АРВ, 2012. 256 с.
[9] Chen G., Pham T.T. Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems. Boca Raton: CRC Press, 2001. 328 p.
[10] Dríankov D., Hellendorm H., Reich Frank M. An introduction to fuzzy control. Springer-Verlag Berlin Heidelberg, 1996. 316 p. DOI: 10.1007/978-3-662-03284-8
[11] MatthewP.A. Fisher. Quantum cognition: The possibility of processing with nuclear spins in the brain // Annals of Physics. 2015. Vol. 362. Pp. 593-602. DOI: 10.1016/j.aop.2015.08.020
[12] Khrennikov A. Classical and quantum mechanics on information spaces with applications to cognitive, psychological, social and anomalous phenomena // Foundations of Physics. 1999. Vol. 29, issue 7. Pp.1065-1098. DOI: 10.1023/A:1018885632116
[13] Khrennikov A. Ubiquitous quantum structure: from psychology to finance. Springer-Verlag Berlin Heidelberg, 2010. 216 p. DOI: 10.1007/978-3-642-05101-2
[14] GribA.A., RodriguesJr.W.A. Nonlocality in Quantum Mechanics. Springer US, 1999. 225 p. DOI: 10.1007/978-1-4615-4687-0
[15] Melkikh A.V. The No Free Lunch Theorem and hypothesis of instinctive animal behavior // Artificial Intelligence Research. 2014. Vol. 3, no. 4. Pp. 43-63. DOI: 10.5430/air.v3n4p43
[16] MelkikhA.V. Congenital programs of the behavior and nontrivial quantum effects in the neurons work // Biosystems. 2014. Vol. 119. Pp. 10-19. DOI: 10.1016/j.biosystems.2014.03.005
[17] Melkikh A.V., Meijer D.F.K. On a generalized Levinthal's paradox: The role of long- and short range interactions in complex bio-molecular reactions, including protein and DNA folding // Progress in Biophysics and Molecular Biology. 2018. Vol. 132. Pp. 57-79. DOI: 10.1016/j.pbiomolbio.2017.09.018
[18] Silver D. Mastering the game of Go with deep neural networks and tree search // Nature. 2016. Vol. 529. Pp. 484-489. DOI: 10.1038/nature16961
[19] Башелханов И.В. Проблемы нелинейных эффектов в циф-
Modern Information Technologies and IT-Education
ровой экономике // Сборник трудов VIII Международной конференции «ИТ-Стандарт 2017». М.: Издательство «Проспект», 2017. С. 180-191.
[20] Башелханов И.В., Демкина Н.И. Модель Хартли и кван-тово-подобный механизм принятия решения // Материалы Первой международной междисциплинарной конференции «Когнитивные технологии и квантовый интеллект». СПб: ООО «Райт Принт Групп», 2018. С. 101106.
[21] Минакова Н.Н., Семдянкина Е.В. Скрининг нарушителя в системах защиты информации // Известия Алтайского государственного университета. 2010. № 1-1(65). С. 143145. URL: http://elibrary.ru/item.asp?id=15484190 (дата обращения: 15.05.2018).
[22] Баринов С.В. Криминалистическая характеристика личности преступника, совершающего нарушения неприкосновенности частной жизни в киберпространстве // Сибирские уголовно-процессуальные и криминалистические чтения. 2015. №2(8). С. 111 -117. URL: http:// elibrary.ru/item.asp?id=25440409 (дата обращения: 15.05.2018).
[23] Дровникова И.Г. Социально-психологический портрет нарушителя в системе безопасности // Технологии тех-носферной безопасности. 2008. № 3(19). С. 6. URL: http://
elibrary.ru/item.asp?id=14779193 (дата обращения: 15.05.2018).
[24] Хартли Р. Передача информации // Теория информации и её приложения / под ред. А.А. Харкевича. М.: Физматгиз, 1959. С. 5-35.
[25] Башелханов И.В. Мера Хартли и аномалии в социофизи-ческом эксперименте // Социофизика и социоинжене-рия'2018 [Электронный ресурс]: труды Второй всерос. междисциплинар. конф., 23-25 мая 2018 г, Москва / под общ. ред. А.Р. Хохлова, Д.А. Новикова; Ин-т проблем упр. им. В .А. Трапезникова; МГУ М.: ИПУ РАН, 2018. C. 233-234. URL: http://soc-phys.ipu.ru/node/11285 (дата обращения: 15.05.2018).
[26] Trist E.L., Bamforth K.W. Some Social and Psychological Consequences of the Long Wall Method of Coal-Getting // Human Relations. 1951. Vol. 4, issue 1. Pp. 3-38. DOI: 10.1177/001872675100400101
[27] Hellriegel D. Organizational behavior. Part III / Don Hellriegel, John W. Slocum, Jr., Richard W. Woodman. 7th ed. Minneapolis/St. Paul: West Pub. Co., 1995. Pp. 551-557.
Поступила 15.05.2018; принята в печать 10.06.2018; опубликована онлайн 30.06.2018.
|об авторах:|
Демкина Надежда Ибрагимовна, кандидат экономических наук, директор Колледжа информатики и программирования, Финансовый университет при Правительстве Российской Федерации (125993, Россия, г. Москва, Ленинградский пр., д. 49), ORCID: http://orcid.org/0000-0003-4312-185X, nidemkina@fa.ru
Башелханов Игорь Викторович, кандидат физико-математических наук, преподаватель, Финансовый университет при Правительстве Российской Федерации (125993, Россия, г. Москва, Ленинградский пр., д. 49), ORCID: http://orcid.org/0000-0001-8413-7722, greeceer@mail.ru
Оладько Владлена Сергеевна, кандидат технических наук, доцент кафедры «Информационная безопасность», Финансовый университет при Правительстве Российской Федерации (125993, Россия, г. Москва, Ленинградский пр., д. 49), ORCID: http://orcid. org/0000-0003-0500-8928, vsoladco@fa.ru
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted reuse, distribution, and reproduction in any medium provided the original work is properly cited.
Современные информационные технологии и ИТ-образование
