Application of Cognitive Modeling for the Research Aspects of Emergency Situations

Tyumen State University Herald. Physical and Mathematical Modeling. Oil, Gas, Energy


2018, Vol. 4. №4

Application of Cognitive Modeling for the Research Aspects of Emergency Situations

For citation: Sukhodolov A. P., Andriyanov V. N., Marenko V. A., Lozhnikov V. E. 2018. “Application of Cognitive Modeling for the Research Aspects of Emergency Situations”. Tyumen State University Herald. Physical and Mathematical Modeling. Oil, Gas, Energy, vol. 4, no 4, pp. 235-248. DOI: 10.21684/2411-7978-2018-4-4-235-248

About the authors:

Alexander P. Sukhodolov, Dr. Sci. (Еcon.), Professor, Rector, Baikal State University (Irkutsk);

Valery N. Andriyanov, Cand. Sci. (Jur.), Associate Professor, Honored Lawyer of the Russian Federation, Deputy Chairman of the Academic Council of the Institute of State and Law, Department of National Security of the Baikal State University (Irkutsk);

Valentina A. Marenko, Cand. Sci. (Tech.), Associate Professor, Senior Researcher, Sobolev Institute of Mathematics of the Siberian Branch of the Russian Academy of Sciences (Omsk);

Vyacheslav E. Lozhnikov, Postgraduate Student, Department of Theoretical Physics, Omsk State University;


With the increasing number of emergencies nowadays, conceptual models and statistics are used to study various natural and man-made emergencies. The authors suggest using cognitive modeling, which has been developing as an interdisciplinary scientific direction.

This article aims to illustrate the possibilities of cognitive modeling to study the aspects of emergencies and to illustrate the results of testing the authors’ software for conducting a simulation experiment with the cognitive model created.

The authors provide a brief overview of the legislation and scientific publications on the problem, which reveals the conceptual apparatus of emergencies as threats to the safety of people and the environment. That has allowed forming the problem field, which includes “the safety of people in emergencies”, “destruction” of an object, e. g. “fire”, “the emergence of toxic substances”, the ensuing “panic”, and “waiting time” for the rescue services to arrive.

The authors created a cognitive map in the form of a weighted oriented graph with the target factor “the safety of people in emergency situations”. They performed reconciliation of reflective expert assessments with the use of mathematical statistics, formulating expert rules based on cause-effect reasoning.

Then, the authors conducted a simulation experiment, the algorithm of which was constructed using numerical methods. The simulation experiment used the authors’ program developed in the framework of import substitution, in addition to Microsoft Excel.

The experiment showed the coincidence of the results obtained with the help of foreign and copyright software, including that with an increase in “panic” and “rescuers arrival time”, the safety of people in emergency situations decreases. Copyright software will be used in further research to analyze other socio-economic models.


  1. Kulba V. V., Kononov D. А., Malinetskiy G. G. 2001. “Stsenarii povedeniya slozhnykh sistem v chrezvychaynykh situatsiyakh” [Behavior Scenarios for Complex Systems in Emergencies]. Proceedings of the 6th Russian Research Conference “Upravlenie riskami chrezvychaynykh situatsiy” (20-21 March, Moscow), pp. 143-152. Moscow: KRUK. 
  2. Lesnykh V. V., Timofeeva T. B. 2004. “Natsional’naya sistema vozmeshheniya ushherba, vyzvannogo prirodnymi i tehnogennymi ChS: podkhody, modelirovanie, optimizatsiya” [National System of Compensation for Damage Caused by Natural and Man-Made Emergencies: Approaches, Modeling, Optimization]. Problemy analiza riska, vol. 1, no 1, pp. 50-55.
  3. Maksimov V. I., Kornoushenko E. K., Kachaev S. V. 1999. “Kognitivnyye tekhnologii dlya podderzhki prinyatiya upravlencheskikh resheniy” [Cognitive Technologies to Support Management Decisions].  Informatsionnoye obshchestvo, no 2, pp. 50-54.
  4. Nogin V. D. 2004. “Uproshchennyy variant metoda analiza ierarkhiy na osnove nelineynoy svyortki kriteriev” [The Simplified Version of the Method of Analyzing the Hierarchies Based on Non-Linear Criteria Parcel]. Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki, vol. 44, no 7, pp. 1261-1270.
  5. Sukhodolov A. P., Lozhnikov V. E. 2018. “Programma dlya analiza ustoychivosti kognitivnykh modeley” [Program to Analyze the Stability of Cognitive Models]. Software state registration certificate No 2018618633, Russian Federation. Copyright belongs to Baikal State University. No 2018613479. Applied 9 April. Published 16 July. 
  6. Roberts F. C. 1986. Diskretnyye matematicheskiye modeli s prilozheniyami k sotsial’nym, biologicheskim i ekologicheskim zadacham [Discrete Mathematical Models with Applications to Social, Biological, and Environmental Problems]. Moscow: Nauka.
  7. Rotshteyn A. P., Shtovba S. D. 2001. “Nechetkiy mnogokriterial’nyy analiz variantov s primeneniyem parnykh sravneniy” [Fuzzy Multi-Criteria Analysis of Options with the Use of Pairwise Comparisons]. Journal of Computer and Systems Sciences International, no 3, pp. 150-154.
  8. Saati T. L. 1993. Prinyatiye resheniy. Metod analiza iyerarkhiy [The Analytic Hierarchy Process]. Translated from English by R. G. Vachnadze. Moscow: Radio i svyaz.
  9. Trifonova T. A., Akimov V. A., Abrakhin S. I., Arakelyan S. M., Prokoshev V. G. 2014. Osnovy modelirovaniya i prognozirovaniya chrezvychaynykh situatsiy prirodnogo i tekhnogennogo kharaktera. Kompleksnyy analiz razvitiya fundamental’nykh prirodnykh protsessov v zemnoy kore s ispol’zovaniem sovremennykh matematicheskikh metodov i informatsionnykh tekhnologiy. Monografiya [Basics of Modeling and Forecasting Natural and Manufactured Emergencies. Comprehensive Analysis of the Development of Fundamental Natural Processes in the Earth’s Crust Using Modern Mathematical Methods and Information Technologies]. Moscow: Vserossiyskiy nauchno-issledovatel’skiy institut po problemam grazhdanskoy oborony i chrezvychaynykh situatsiy, Ministry of Emergency Situations (Russia).