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 J. Nagel, Intuition, Reflection, and the Command of Knowledge, Aristotelian Society Supplementary. 88 (1) (2014) 219-241.
 N.B. Novikov, About the nature of intuitive and logical components of creative thinking. Psychology faculties, Inst. of Psychology RAS, Moscow, (2005).
 B. Lucas, G. Claxton and E. Spencer, Progression in Student Creativity in School: First Steps Towards New Forms of Formative Assessments", OECD Education Working Papers, 86 (2013).DOI: https://doi.org/10.1787/5k4dp59msdwk-en
 Ut Na Sio, C.T. Ormerod, Incubation and cueing effects in problem-solving: Set aside the difficult problems but focus on the easy ones, Thinking & Reasoning. 21 (1) (2015) 113-129.DOI: https://doi.org/10.1080/13546783.2014.886626
 P.J. Cushen, J. Wiley, Cues to solution, restructuring patterns, and reports of insight in creative problem solving, Consciousness and Cognition, 21(3) (2012) 1166-1175.DOI: https://doi.org/10.1016/j.concog.2012.03.013
 I. Hadar, When intuition and logic clash: The case of the object-oriented paradigm, Science of Computer Programming, 78 (1) (2013) 1407-1426.DOI: https://doi.org/10.1016/j.scico.2012.10.006
 M.V. Malkhasyan, Cluster analysis indicators of the structure of intelligence and cognitive factors of intellectual creative children living in rural areas, Law and Life, Yurkompani, Moscow. 169 (7) (2012) 106-110.
 H. Ning, H. Liu, J. Mac, L.T. Yang, R. Huangc Cybermatics: Cyber–physical–social–thinking hyperspace based science and technology, Future Generation Computer Systems. 56 (2016) 504-522.DOI: https://doi.org/10.1016/j.future.2015.07.012
 S. Atmatzidou, S. Demetriadis, Advancing students' computational thinking skills through educational robotics: A study on age and gender relevant differences, Robotics and Autonomous Systems. 75 (2016) 661-670.DOI: https://doi.org/10.1016/j.robot.2015.10.008
 M.A. Cholodnaya, Psihologiya intellect: paradoxes of research, Peter, SPb ., (2002).
 J. Mathias, O. Josephs, J. O'Doherty, S. Zanini, B. -K. Dewar, L. Cipolotti, T. Shallice, R. J. Dolan. Human cingulate cortex and autonomic control: converging neuro-imaging and clinical evidence Brain. 126 (2003) 2139-2152.DOI: https://doi.org/10.1093/brain/awg216
 R. McCraty, M. Atkinson, and R. T. Bradley. Electrophysiological Evidence of Intuition: Part 1. The Surprising Role of the Heart. The Journal of Alternative and Complementary Medicine. 10(1) (2004) 133-143.DOI: https://doi.org/10.1089/107555304322849057
 R.M. Baevsky, A.P. Bersenieva, The analysis of heart rate variability using different electrocardiographic systems method. Recommendations, Moscow, (2002).
 I.I. Eliseeva, M.M. Yuzbashev, General Theory of Statistics. Finance and Statistics, Moscow, (2002).
 A.S. Ban, G.M. Zagorodny, Vegetative index for evaluating variability heart rate athletes, Medical Journal. 4 (2010) 127-130.
 L.A. Pesotskaya, The method of rapid diagnosis of mental and emotional state of a person, Patent of Ukraine №49283 А61В5/05, Bul 9 (2002).
 L.A. Pesotskaya, N.V. Glukhova, Development of a method of analysis of geometric and brightness parameters of the gas-discharge light images, Conf. Biophysical Methods in Clinical Laboratory Diagnostics, St. Petersburg, (2015).
 L.D. Korovina, T.M. Zaporozhets, Relations between blood supply of brain of students and condition of autonomic nervous system and risk factors, Visnyk of Dnipropetrovsk Univ. Biology, medicine. 6 (1) (2015) 68-73.DOI: https://doi.org/10.15421/021513
 T.V. Popova, O.S. Kolosov, I. E. Bulatov, Gas discharge visualization method in the study of physical and mental status of the person, Bulletin of South-Ural. State. Univ. 28 (2012) 40-45.
 P. Mandel, Energetishe Terminalpunkt – Diagnos, FRG, ESSEN, (1983).