Human Factor and Working Out of NBIC Technologies

  • Evgeny KolbachevEmail author
  • Tatiana Kolbacheva
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 793)


Authors present a review of ways in which the human factor may affect processes of working out NBIC technologies and human-oriented production systems. It is proved that the result of NBIC convergence should be maximum growth of social capital level. That is why NBIC convergence promotes a social harmony. The complex of management methods for groups of researchers and NBIC technologies developers is also presented. An original approach is shown to the evaluation of the technology’s convergence level, and of bringing it into correlation with one or another technological paradigm.


NBIC technologies Convergence Human factor Human-oriented production systems TRIZ methodology Technological paradigm 


  1. 1.
    Roco, M.C.: Converging science and technology at the nanoscale: opportunities for education and training. Nature Biotech. 21(10), 1247–1249 (2003)CrossRefGoogle Scholar
  2. 2.
    Roco, M., Bainbridge, W. (eds.) Converging Technologies for Improving Human Performance: Nanotechnology, Biotechnology, Information Technology and Cognitive Science. National Science Foundation, Arlington (2004)Google Scholar
  3. 3.
    Freitas, R.: Economic impact of the personal nanofactory: nanotechnology perceptions. A Rev. Ultraprecis. Eng. Nanotech. 2, 111–126 (2006)Google Scholar
  4. 4.
    Baez, J.: Subcellular Life Forms.
  5. 5.
    Lifeboat Foundation. NanoShield.
  6. 6.
    Pride, V., Medvedev, D.A.: Phenomenon of NBIC convergence: explanations and reality (Пpaйд B., Meдвeдeв Д.A. Фeнoмeн NBIC-кoнвepгeнции: Peaльнocть и oжидaния). Philos. Sci. 1, 97–117 (2008)Google Scholar
  7. 7.
    Kolbachev, E., Kolbacheva, T.: Biological and social factors that exert an impact on decision making during working-out of the convergent technologies. Advances in Intelligent Systems and Computing, vol. 722, pp. 255–260 (2018)Google Scholar
  8. 8.
    Marsh, P.: The New Industrial Revolution: Consumers, Globalization and the End of Mass Production. Yale University Press, New Haven (2013)Google Scholar
  9. 9.
    Rifkin, J.: The Third Industrial Revolution: How Lateral Power is Transforming Energy, the Economy, and the World. Palgrave Macmillan, London (2011)Google Scholar
  10. 10.
    Anderson, C.: Makers: The New Industrial Revolution. Random House, New York (2012)Google Scholar
  11. 11.
    Collinge, J.: Prion diseases of humans and animals: their causes and molecular basis. Neurosci. Ann. R. 24, 519–520 (2001)CrossRefGoogle Scholar
  12. 12.
    Mapping the Global Future. Report of the National Intelligence Council’s 2020 Project. GPO, Pittsburgh (2004)Google Scholar
  13. 13.
    Converging Technologies for Improving Human Performance. Nanotechnology, Biotechnology, Information Technology and Cognitive Science. NSF/DOC-sponsored report.
  14. 14.
    Converging Technologies for the European Knowledge Society.
  15. 15.
    Sundmaeker, H., Guillemin, P., Friess, P., Woelffle, S. (eds.): Vision and Challenges for Realising the Internet of Things. European Commission, Brussels (2010)Google Scholar
  16. 16.
    Hirooka, M.: Innovation Dynamism and Economic Growth: A Nonlinear Perspective. Edward Elgar, Northampton (2006)CrossRefGoogle Scholar
  17. 17.
    Schmidt, J.C.: NBIC-Interdisciplinary? A Framework for a Critical Reflection on Inter- and Transdisciplinary of NBIC-scenario. Georgia Inst. of Tech. Working Paper. 26 (2007)Google Scholar
  18. 18.
    Nordmann, A.: Converging Technologies – Shaping the Future of European Societies. European Commission, Brussels (2004)Google Scholar
  19. 19.
    Simondon, G.: Du mode d’existence des objets techniques. Aubier, Paris (2001)Google Scholar
  20. 20.
    Nishimoto, S., An, T.V., Naselaris, T., Benjamini, Y., Ben, Y., Gallant, J.L.: Reconstructing visual experience from brain activity evoked by natural movies. Curr. Biol. 21(19), 1641–1646 (2011)CrossRefGoogle Scholar
  21. 21.
    Kolbachev, E.: Managing the human factor during the working-out of new technologies and hardware: the reindustrialization conditions. Advances in Intelligent Systems and Computing, vol. 606, pp. 50–62 (2018)Google Scholar
  22. 22.
    Amatova, N.E.: Valuating the risks of convergent technologies adoption in different spheres of society’s life (Аматова Н.Е. Оценка рисков внедрения конвергентных технологий в различные сферы общественной жизни). Sci. Results 1, 39–43 (2015)Google Scholar
  23. 23.
    Bourdieu, P.: The forms of capital. In: Richardson, J. (ed.) Handbook of Theory and Research for the Sociology of Education, pp. 241–258. Greenwood, New York (1986)Google Scholar
  24. 24.
    Romey, A.: Pierre Bourdieu. Esquisses algériennes. Textes édités et présentés par Tassadit Yacine, Seuil, Paris (2003)Google Scholar
  25. 25.
    Rowntree, B.-S.: The Human Factor in Business. Lonqumans, Green and Co., London (1921)Google Scholar
  26. 26.
    Kucharchikova, A.: Human capital – definitions and approaches. Hum. Res. Manag. Ergonom. 2(5), 60–70 (2011)Google Scholar
  27. 27.
    Rebelo, S.: Long-run policy analysis and long-run growth. J. Polit. Econ. 3(99), 500–521 (1991)CrossRefGoogle Scholar
  28. 28.
    Romer, P.M.: Endogenous technological change. J. Polit. Econ. 5(98), 71–102 (1990)CrossRefGoogle Scholar
  29. 29.
    Lucas, R.E.: On the mechanics of economic development. J. Monet. Econ. 1(22), 3–42 (1988)CrossRefGoogle Scholar
  30. 30.
    Deming, D.: The growing importance of social skills in the labor market. NBER Working Paper (2015)Google Scholar
  31. 31.
    Liu, Y., Grusky, D.: The payoff to skill in the third industrial revolution. Amer. J. Sociol. 118(5), 1330–1374 (2013)CrossRefGoogle Scholar
  32. 32.
    Chalmers, D.J.: Fasing up to the problem of consciousness. J. Cons. Stud. 2, 200–219 (1995)Google Scholar
  33. 33.
    Dubrovski, D.I.: Subjective reality and the brain: an essay on a theoretical solution to the problem. Her. Russ. Acad. Sci. 1, 59–69 (2013)CrossRefGoogle Scholar
  34. 34.
    Valtukh, K.K.: Informational Theory of Pricing and the Laws of the Non-equilibrium Economy [Baльтyx К.К. Инфopмaциoннaя тeopия cтoимocти и зaкoны нepaвнoвecнoй экoнoмики]. Janus-K, Moscow (2001)Google Scholar
  35. 35.
    Hirshleifer, J.: Where we are in the theory of information? Amer. Econ. Rev. 63, 31–39 (1973)Google Scholar
  36. 36.
    Perez, C.: Technological Revolutions and Financial Capital. Cambridge University Press, Cambridge (2002)CrossRefGoogle Scholar
  37. 37.
    Glaziev, S.: Strategy for Growth in the Context of the Global Economic Crisis. EANS-Press, Hannover (2015)Google Scholar
  38. 38.
    Kolbachev, E.: Institutional methodology and the instruments of the natural science for the development of the innovation theory. Manag. Theor. Stud. Rural Bus. Infrastruct. Dev. 2(36), 316–323 (2014)CrossRefGoogle Scholar
  39. 39.
    Fodor, J.: Concepts: Where Cognitive Science Went Wrong. Oxford University Press, New York (1998)CrossRefGoogle Scholar
  40. 40.
    Jackendoff, R.: Consciousness and the Computational Mind. Bradford Books/MIT Press, Cambridge (1987)Google Scholar
  41. 41.
    Isac, D., Reiss, C.: I-language: An Introduction to Linguistics as Cognitive Science. Oxford University Press, New York (2013)Google Scholar
  42. 42.
    Miller, G.A.: The cognitive revolution: a historical perspective. Trends Cogn. Sci. 7, 141–144 (2003)CrossRefGoogle Scholar
  43. 43.
    Ferrés, J., Masanet, M.-J.: Communication efficiency in education: increasing emotions and storytelling. Comunicar 25(52), 51–60 (2017)CrossRefGoogle Scholar
  44. 44.
    Staddon, J.: The New Behaviorism. Psychology Press, Philadelphia (2014)CrossRefGoogle Scholar
  45. 45.
    Mace, F.C., Critchfield, T.S.: Translational research in behavior analysis: historic traditions and imperative for the future. J. Exp. Anal. Behav. 93(3), 293 (2010)CrossRefGoogle Scholar
  46. 46.
    Altshuller, G.: Creativity as an Exact Science. Gordon and Breach Science Publishers Inc., New York (1984)Google Scholar
  47. 47.
    Zlotin, B., Zusman, A., Hallfell, F.: TRIZ to invent your future utilizing directed evolution methodology. Procedia Eng. 9, 126–134 (2011)CrossRefGoogle Scholar
  48. 48.
    Zlotin, B., Zusman, A.: Patterns of evolution: recent findings on structure and origin. In: Altshuller’s TRIZ Institute Conference TRIZCON 2006, pp. 1–49. Ideation International, Milwaukee (2006)Google Scholar
  49. 49.
    The Altshuller Institute for TRIZ Studies.
  50. 50.
    TRIZ-Boeing. Boeing Company’s newsletter reprint.
  51. 51.
    Polovinkin, A.I.: Fundamental Engineering Creativity (Пoлoвинкин A.И. Ocнoвы инжeнepнoгo твopчecтвa). Mechanical Engineering, Moscow (1988)Google Scholar
  52. 52.
    Zaboleeva-Zotova, A.V., Bobkov, A.S., Orlova, Y.A., Rozaliev, V.L., Polovinkin, A.I.: Automated identification of human emotions based on analysis of body movements. In: Proceedings of the IADIS International Conferences – Interfaces and Human Computer Interaction 2013, IHCI 2013 and Game and Entertainment Technologies 2013, GET 2013, Carvoeiro, Portugal, pp. 299–304 (2013)Google Scholar
  53. 53.
    Ukustov, S., Fomenkov, S., Polovinkin, A.: Wrong metrics of success for open source software. In: Proceedings of the IADIS International Conference Web Based Communities and Social Media 2013, Proceedings of the IADIS International Conference Collaborative Technologies 2013, Prague, pp. 97–99 (2013)Google Scholar
  54. 54.
    Turri, J.: Knowledge and the Norm of Assertion. Open Book Publishers, Cambridge (2016)CrossRefGoogle Scholar
  55. 55.
    Williamson, O.E.: The theory of the firm as governance structure: from choice to contract. J. Econ. Pers. 16(3), 171–195 (2002)MathSciNetCrossRefGoogle Scholar
  56. 56.
    Akayev, A., Rudskoy, A.: Synergetic effect of NBIC technologies and world economy’s growth in the first part of 21st century (Aкaeв A., Pyдcкoй A. Cинepгeтичecкий эффeкт NBIC-тexнoлoгий и миpoвoй экoнoмичecкий pocт в пepвoй пoлoвинe XXI вeкa). Econ. Policy 2, 25–46 (2014)Google Scholar
  57. 57.
    Highsmith, J.A.: Agile Software Development Ecosystems. Addison-Wesley Professional, Boston (2002)Google Scholar
  58. 58.
    Saaksvuori, A.: Produkt Lifecycle Management. Springer, Germany (2008)CrossRefGoogle Scholar
  59. 59.
    Mandelbrot, B.: Die fraktale Geometrie der Natur. Birkhauser, Basel, Boston (1987)CrossRefGoogle Scholar
  60. 60.
    Kudrin, B.I.: Structural diversity of production and social system: a critical condition for macroeconomic development (Кyдpин Б.И. Cтpyктypнoe paзнooбpaзиe пpoизвoдcтвeнныx и coц0438aльныx cиcтeм кaк ycлoвиe мaкpoэкoнoмичecкoгo paзвития). Report for the RAS Philosophy, Political Science, Sociology, Psychology and Law Section meeting, Moscow (2017)Google Scholar

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Authors and Affiliations

  1. 1.Platov South-Russian State Polytechnic University (NPI)NovocherkasskRussian Federation

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