Using cognitive maps to study issues concerning the improvement of the quality of life of population in the frame of interregional disparities
DOI:
https://doi.org/10.20535/SRIT.2308-8893.2020.4.03Keywords:
cognitive modelling, quality of life of population, standards of living, regional development, intermunicipal disparitiesAbstract
This paper studies issues of the rise in the standards of living and improvement of the quality of life of the population in the frame of intermunicipal disparities. Simulation and modelling are examined in relation to research of standards of living and quality of life. Tools of cognitive modelling and simulation are used to acquire new knowledge on the regional social and economic, ecological, and political system which determines the standards of living and quality of life. A cognitive model studying the quality of life was designed and its structural properties were analyzed. Scenarios were created to model possible developments of the situation under the influence of various factors. The novelty of the work is in applying a new informational technology of cognitive modelling to studying the improvement of the quality of life in the frame of intermunicipal disparities.
References
Order of the Government of the Russian Federation of November 17, 2008 No. 1662 “On the Concept of long-term socio-economic development of the Russian Federation for the period up to 2020” (as amended on September 28, 2018).
P.I. Ibragimova and B.Sh. Dadaeva, “The quality of life of the population as the main indicator of the socio-economic development of the country”, Modern trends in education and science. Tambov, 2013, pp. 74–76.
A.A. Kisurkin, Quality of life of the population: regional socio-economic aspects. Abakan: GOU VPO “Khakass State University named after N.F. Katanova”, 2010, 216 p.
T.N. Kozlova, “The quality of life of the population as an important indicator of the state of society”, Materials of the All-Russian NPK “Economics and Management: Problems and Development Prospects”. Makhachkala: Mavraev, 2012, pp. 165–175.
Z.K. Avdeeva, G.V. Gorelova, and S.K. Kovriga, “Cognitive studies of the quality of life of the city population”, Proceedings of the VII International Forum on Cognitive Modeling (IFCM-2019), pp. 206–214.
G.V. Gorelova and V.N. Tyushnyakov, “Application of digital technologies in state and municipal administration”, ASU Bulletin “Economy”, no. 4 (250), pp. 134–145, 2019.
E.V. Zhertovskaya, M.V. Yakimenko, and V.N. Tyushnyakov, “Simulation modeling of innovative development of regions of southern Russia based on the composition of cognitive modeling and methods of program-project management for solving strategic management problems”, Basic research, no. 12-5, pp. 1017–1023, 2015.
Yu.G. Tkachenko and V.N. Tyushnyakov, “Simulation modeling of the living standards of the region's population”, System analysis in design and management: collection of scientific papers of the XXIV International scientific and educational-practical conference, October 13–14, 2020. SPb.: POLITECH-PRESS, 2020, pp. 96–103.
G.V. Gorelova, “On cognitive modeling of complex systems, research tools”, Izvestiya TTI SFU, issue 6. Taganrog: TTI SFU, 2012, pp. 236–240.
G.V. Gorelova, E.N. Zakharova, and S.A. Radchenko, Study of semi-structured problems of socio-economic systems: a cognitive approach. Rostov-on-Don: RGU, 2006, 332 p.
Innovative development of socio-economic systems based on foresight and cognitive modeling methodologies. Collective monograph; ed. G.V. Gorelova, N.D. Pankratova. Kiev: Publishing house “Naukova Dumka”, 2015, 464 p.
V.V. Kulba, D.A. Kononov, I.V. Chernov, and S.S. Yanich, “State administration scenarios (on the example of the Union of Serbia and Montenegro)”, Management problems, no. 5, pp. 33–41, 2005.
R. Axelrod, The Structure of Decision: Cognitive Maps of Political Elites/Princeton. University Press, 1976, 395 p.
G.V. Gorelova and N.D. Pankratova, “Scientific Foresight and Cognitive Modeling of Socio-Economic Systems”, 18th IFAC Conference on Technology, Culture and International Stability, pp. 145–149, 2018.
G.V. Gorelova, N.D. Pankratova, and D.V. Borisova, “Problems of interregional integration, cognitive modeling”, Proceedings Paper of 19th International-Federation-of-Automatic-Control (IFAC) Conference on Technology, Culture and International Stability (TECIS), vol. 52, no. 25, pp. 168–173, 2019.
P. Langley, “Cognitive architectures: Research issues and challenges”, Cognitive Systems Research, vol. 10, no. 2, pp. 141–160, 2009.
G.V. Gorelova, E.V. Zhertovskaya, V.N. Tyushnyakov, and M.V. Yakimenko, “Development of a regional development strategy based on the synthesis of foresight and cognitive modeling methodologies”, Proceedings of the International Multiconference “Networking Partnership in Science, Industry and Education”, pp. 59–66, 2016.
Z. Avdeeva and S. Kovriga, “The technology of the strategic goal-setting and monitoring of a system development on the basis of cognitive mapping”, Procedia Computer Science, 122, pp. 977–984, 2017.
Y. Chen, “Research on differences evaluation of economic development level between cities”, International Conference on Management and Service Science 2011. doi: 10.1109/ICMSS.2011.5998764.
M.H.A.-G. Fawzi and T.A.-L. Aboul-Atta, “Determine the indicators that influence for measuring development at the regional level”, International Journal of Engineering Research and Technology, vol. 12, no. 7, pp. 1100–1109, 2019.
H. Garretsen, P. McCann, and R. Martin, “The future of regional policy”, Cambridge Journal of Regions, Economy and Society, vol. 6, no. 2, pp. 179–186, 2013.
J. Harrison and I. Turok, “Universities, knowledge and regional development”, Regional Studies, vol. 51, no. 7, pp. 977–981, 2017. doi: 10.1080/00343404.2017.1328189.
K. Kourtit and P. Nijkamp, “Introduction: Regional innovation hotspots and spatial development”, Journal of Regional Science, vol. 53, no. 5, pp. 745–748, 2013. doi: 10.1111/jors.12078.
F. Leriche and S. Daviet, “Cultural economy: An opportunity to boost employment and regional development”, Regional Studies, vol. 44, no. 7, pp. 807–811, 2010. doi: 10.1080/00343401003732639.
D. Mocuţa, C. Burcea, and M. Cernuşcǎ-Miţariu, “Theoretical and practical indicators of life quality”, European Journal of Science and Theology, vol. 10, no. 5, pp. 63–69, 2014.
A. Pike, A. Rodríguez-Pose, and J. Tomaney, “Shifting horizons in local and regional development”, Regional Studies, vol. 51, no. 1, pp. 46–57, 2017. doi: 10.1080/00343404.2016.1158802.
B. Webb, “Shape and be shaped: The future dynamics of regional development”, Town Planning Review, vol. 84, no. 6, pp. 795–799, 2013. doi: 10.3828/tpr.2013.40.
J.K. Galbraith, “Economics and the quality of life”, Science, vol. 145, no. 3628, pp. 117–123, 1964. doi: 10.1126/science.145.3628.117.
Program for cognitive modeling and analysis of socio-economic systems at the regional level. Certificate of state registration of computer programs No. 2018661506 dated 09/07/2018.
J. Casti, Connectivity, complexity and catastrophe in large-scale systems. Chichester-New-York-Brisbane-Toronto, 1979, 216 p.
F. Roberts, Discrete Mathematical Models with Applications to Social, Biological, and Environmental Problems. Englewood Cliffs, Prentice-Hall, 1976, 559 p.