Situation Awareness in Modeling Industrial-Natural Complexes

  • Alexander Ya. FridmanEmail author
  • Boris A. Kulik
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 95)


The concept of situation awareness (SA) is adapted and concretized for the previously developed situational conceptual model of an industrial natural complex. The features of the presented approach consist in quantitative assessing of the three main levels of achieving SA and taking into account the possibility of transferring the modelling object from the normal operation mode to an abnormal or emergency situation. Analysis of SA is performed in a discretized state space of this object with an expertly synthesized metric. The research allows to objectify measuring SA level for decision makers involved in managing complex’s components.


Situation awareness Conceptual model Industrial-natural complex Situation awareness level Measuring Decision making 



This work was partially supported by grants from the Russian Foundation for Basic Researches (projects No. 16-29-12901, 18-29-03022, 18-07-00132, 18-01-00076, and 19-08-0079).


  1. 1.
    Lundberg, J.: Situation awareness systems, states and processes: a holistic framework. Theor. Issues Ergon. Sci. 16, 447–473 (2015)CrossRefGoogle Scholar
  2. 2.
    Endsley, M.R.: Toward a theory of situation awareness in dynamic systems. Hum. Factors 37(1), 32–64 (1995)CrossRefGoogle Scholar
  3. 3.
    Banbury, S., Tremblay, S.: A Cognitive Approach to Situation Awareness: Theory and Application, pp. 317–341. Ashgate Publishing, Aldershot (2004)Google Scholar
  4. 4.
    Popovich, V.V., Prokaev, A.N., Sorokin, P.P., Smirnova, O.V.: On recognizing the situation based on the technology of artificial intelligence. In: SPIIRAS Proceedings, Issue 7, Science, St. Petersburg, Russia, pp. 93–104 (2008). (in Russian)Google Scholar
  5. 5.
    Afanasyev, A.P., Baturin, Yu.M., Yeremchenko, E.N., Kirillov, I.A., Klimenko, S.V.: Information-analytical system for decision-making on the basis of a network of distributed situational centres. Inf. Technol. Comput. Syst. 2, 3–14 (2010). (in Russian)Google Scholar
  6. 6.
    Yampolsky, S.M., Kostenko, A.N.: Situational approach to management of organizational and technical systems in operations planning. Sci. Intensive Technol. Space Res. Earth 8(2), 62–69 (2016). (in Russian)Google Scholar
  7. 7.
    Fridman, A.Ya.: Situational Control of the Structure of Industrial Natural Systems. Methods and Models. LAP, Saarbrucken (2015). (in Russian)Google Scholar
  8. 8.
    Fridman, A.Ya., Kurbanov, V.G.: Formal conceptual model of industrial natural complexes as a means of controlling computational experiments. SPIIRAS Proc. 6(37), 424–453 (2014). (in Russian)CrossRefGoogle Scholar
  9. 9.
    Artemieva, I.L., Fridman, A.Ya.: Ontologies in the automation problem for situational modelling. In: Proceedings of the 2018 3rd Russian-Pacific Conference on Computer Technology and Applications (RPC), IEEE, pp. 48–53 (2018)Google Scholar
  10. 10.
    Endsley, M.R.: Theoretical underpinnings of situation awareness: a critical review. In: Endsley, M.R., Garland, D.J. (eds.) Situation Awareness Analysis and Measurement, LEA, Mahwah, NJ, pp. 3–32 (2000)Google Scholar
  11. 11.
    Fridman, A.: Cognitive categorization in hierarchical systems under situational control. In: Advances in Intelligent Systems Research, Atlantis Press, vol. 158, pp. 43–50 (2018)Google Scholar
  12. 12.
    Endsley, M.R.: Final reflections: situation awareness models and measures. J. Cognitive Eng. Decis. Making 9(1), 101–111 (2015)CrossRefGoogle Scholar
  13. 13.
    Fridman, A.Ya., Kurbanov, V.G.: Situational modelling of reliability and safety in industrial-natural systems. Inf. Manage. Syst. 4(71), 1–10 (2014). (in Russian)Google Scholar
  14. 14.
    Yakovlev, S.Yu., Isakevich, N.V., Ryzhenko, A.A., Fridman, A.Ya.: Risk assessment and control: implementation of information technologies for safety of enterprises in the murmansk region. In: Barents Newsletter on Occupational Health and Safety, Helsinki, vol. 11, no. 3, pp. 84–86 (2008)Google Scholar
  15. 15.
    Fridman, A.Ya.: Expert space for situational modelling of industrial natural systems, herald of the Moscow University Named after S.Y. Witte, 1(4), 233–245 (2014). (in Russian)Google Scholar
  16. 16.
    Sowa, J.F.: Conceptual Structures – Information Processing in Mind and Machines. Addison-Wesley Publishing Company (1984)Google Scholar
  17. 17.
    Gärdenfors, P.: Conceptual Spaces: The Geometry of Thought. A Bradford Book. MIT Press, Cambridge (2000)CrossRefGoogle Scholar
  18. 18.
    Zenker, F., Gärdenfors, P.: Applications of Conceptual Spaces. The Case for Geometric Knowledge Representation, Synthese Library, Springer, vol. 359 (2015)Google Scholar
  19. 19.
    Decock, L., Douven, I.: What is graded membership? Noûs 48, 653–682 (2014)MathSciNetCrossRefGoogle Scholar
  20. 20.
    Fridman, A., Fridman, O.: Gradient coordination technique for controlling hierarchical and network systems. Syst. Res. Forum 4(2), 121–136 (2010)CrossRefGoogle Scholar
  21. 21.
    Loft, S., Morrell, D.B.: Using the situation present assessment method to measure situation awareness in simulated submarine track management. Int. J. Hum. Factors Ergon. 2(1), 33–48 (2013)CrossRefGoogle Scholar
  22. 22.
    Endsley, M.R.: Situation awareness measurement in test and evaluation. In:, O’Brien, T.G., Charlton, S.G. (eds.) Handbook of Human Factors Testing & Evaluation, Lawrence Erlbaum, Mahwah, NJ, pp. 159–180 (1996)Google Scholar
  23. 23.
    Endsley, M.R.: Direct measurement of situation awareness in simulations of dynamic systems: validity and use of SAGAT. In: Garland, D.J., Endsley, M.R. (eds.) Experimental Analysis and Measurement of Situation Awareness, Embry-Riddle University, Daytona Beach, FL, pp. 107–113 (2000)Google Scholar
  24. 24.
    Endsley, M.R.: Situation awareness misconceptions and misunderstandings. J. Cognitive Eng. Decis. Making 9(1), 4–32 (2015)CrossRefGoogle Scholar
  25. 25.
    Oleynik, A., Fridman, A., Masloboev, A.: Informational and analytical support of a network of intelligent situational centers in the russian arctic, IT&MathAZ 2018 information technologies and mathematical modeling for efficient development of arctic zone. In: Proceedings of the International Research Workshop on Information Technologies and Mathematical Modeling for Efficient Development of Arctic Zone, Yekaterinburg, Russia, 19–21 April 2018, pp. 57–64 (2018)Google Scholar
  26. 26.
    Sokolov, B., Ivanov, D., Fridman A.: Situational modelling for structural dynamics control of industry – business processes and supply chains. In: Intelligent Systems: From Theory to Practice. Studies in Computational Intelligence, pp. 279–308. Springer, Heidelberg (2010)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Institute for Informatics and Mathematical Modelling, Kola Science Centre of RASApatityRussia
  2. 2.Institute of Problems in Mechanical Engineering of RASSt. PetersburgRussia

Personalised recommendations