Cognitive and Simulation Modeling of Socioeconomic Systems

Abstract

Abstract-The article describes the cognitive and simulation metamodel and modern cognitive tools developed for modeling socioeconomic systems. The tools are presented by crisp and fuzzy cognitive maps, parametrical vector functional graph, the solution of a problem of definition of sustainability of model is proposed and simulation example. The metamodel can be used to solve problems of modelling the structure and behavior analysis socioeconomic systems, forecasting of ways and development strategies. The fragment of a computing experiment is given

Recurrent method for constructing fuzzy cognitive maps for food security assessment

“…To solve the last of the key problems inherent in cognitive modeling listed above, according to Prof. G. Gorelova (Southern Federal University), regression dependencies can be applied [9]. The use of functional dependencies for setting the values of the influence of concepts on each other should be considered relevant.…”

“…This is due to the complexity of the problem, the absence of a universal scale, the significant dimension of the problem of numerical estimation of FS, its insufficient structure, and not all the required numerical data available. To obtain an objective assessment of the current FS level and identify trends in its change, it is possible to use a cognitive approach based on the construction of fuzzy cognitive maps (FCM) [5][6][7][8][9].…”

“…Among the typical tasks successfully solved with the use of FCM, there is a possibility (V. Volkova, G. Gorelova, A. Kolodenkova, P. Ginis, V. Kamaev, A. Kulinich, P. Terelyansky, etc. [3,9]) to identify trends in the evolution of socio-economic systems for various purposes, including their controlled development. At the same time, there are limitations to the use of cognitive modeling.…”

Improvement of Tools for Government Regulation of Tourist Activity Based on Analysis of Simplicial Complexes

“…The method of q-connectivity analysis makes it possible to consider connectivity of the system under study more thoroughly than in traditional studies of graph connectivity, whereby it is established that there is a mutual influence of simplicial system blocks through a chain of communications between them. Based on these possibilities, formalized rules for justifying the choice of target and control vertices, determination of the stability of systems characterized by particular simplicial complexes, and conditions for structural stability of systems have been proposed (Ginis, 2015;Ginis et al, 2016).…”

Fuzzy Cognitive Modeling Of Food Security Taking Into Account Import Substitution Level

“…particular FS subsystems, and the subjectivity of the results is often due to their limited formalization and expert nature. The problem of system modelling of food security can be solved by methods of cognitive analysis, including using fuzzy models (Ginis et al, 2016;Rogachev, 2019). Such models are implemented using fuzzy cognitive maps (FCM).…”