Abstract
A person’s daily life is a sequence of decisions made on the basis of a certain amount of information that he has from various sources, including his own experience. To make the right decision need to get the amount of information not below a given level. Information is distinguished not only by its quantity, but also by the degree of heterogeneity, which does not allow its simple summation. Decisions made on the basis of available information are often wrong, and their consequences are negative. Different, including heuristic models are needed, which could calculate the consequences of the decisions taken and predict the result. Decisions are made within the confidential ranges, the values of which reflect the volume and quality of the processed information. A formulation of an optimization task that minimizes the likelihood of making the wrong decision is proposed.
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References
Sinitsyn, S.A.: Informacionno-statisticheskij metod optimal’nogo modelirovaniya gladkih differencial’nyh poverhnostej pri iteracionnom proektirovanii tekhnicheskih ob”ektov na transporte: monografiya. [Information-statistical method for optimal modeling of smooth differential surfaces in the iterative design of technical objects in transport: a monograph], p. 103. Publishing House of the Russian University of Transport, Moscow (2017)
Sinitsyn, S.A., Dubrovin, V.S.: Konechnye skhemy raspredeleniya tochechnyh mnozhestv geometricheskih ob”ektov [Finite schemes of distribution of point sets of geometric objects]. Sovremennye problemy sovershenstvovaniya raboty zheleznodorozhnogo transporta [Modern problems of improving the work of railway transport], pp. 207–212 (2017)
Sinitsyn, S.A.: Koncepciya informacionnogo modelirovaniya v sistemah interaktivnogo intellekta [The concept of information modeling in interactive intelligence systems]. In: Innovacionnye podhody v reshenii problem sovremennogo obshchestva: sbornik statej III Mezhdunarodnoj nauchno-prakticheskoj konferencii [Innovative Approaches to Solving the Problems of Modern Society: A Collection of Articles of the III International Scientific Practical Conference], pp. 170–176 (2018)
Kropat, E., Weber, G.-W.: On a strategy towards the exploration of implicit motives and associated automatic processes with respect to intertemporal and impulsive decision-making. In: Societal Complexity, Data Mining and Gaming, pp. 51–58 (2017)
Weber, G.-W., Defterli, O., Gök, S.Z.A., Kropat, E.: Modeling, inference and optimization of regulatory networks based on time series data. Eur. J. Oper. Res. 211(1), 1–14 (2011). https://doi.org/10.1016/j.ejor.2010.06.038
Meyer-Nieberg, S., Kropat, E.: Can evolution strategies benefit from shrinkage estimators? In: Transactions on Computational Collective Intelligence XXVIII, pp. 116–142 (2018). http://dx.doi.org/10.1007/978-3-319-78301-7_6
Kropat, E., Meyer-Nieberg, S.: A Multi-layered adaptive network approach for shortest path planning during critical operations in dynamically changing and uncertain environments. In: 2016 49th Hawaii International Conference on System Sciences (HICSS), pp. 1369–1378 (2016). http://dx.doi.org/10.1109/HICSS.2016.173
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Sinitsyn, S., Panchenko, V., Kharchenko, V., Kovalev, A., Vasant, P. (2020). The Concept of Information Modeling in Interactive Intelligence Systems. In: Vasant, P., Zelinka, I., Weber, GW. (eds) Intelligent Computing and Optimization. ICO 2019. Advances in Intelligent Systems and Computing, vol 1072. Springer, Cham. https://doi.org/10.1007/978-3-030-33585-4_25
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DOI: https://doi.org/10.1007/978-3-030-33585-4_25
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