Abstract
Methodological fundamentals for the quantification of preferences of economic entities include the classification of the steps of the corresponding procedure, allowing the formation of context sequences that correspond to the proposed technologies of the tasks being solved. When building a technology, the known approaches to the interpretation of the concept “intuition”, differing in orientation to the left and right hemispheres of the human brain, are used jointly. Model examples of the technology of comprehension of research results by subjects of control objects that perform ranking and selection on a set of objects as a preliminary and final task, are given. At this stage, the possibilities of the targeted use of the software that has passed the official registration, are illustrated.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Kothari, C.R.: Research methodology: methods and techniques. New Age International (2004)
Sargent, R.G.: Verification and validation of simulation models. J. Simul. 7(1), 12–24 (2013)
Vol’f, E.M.: Funktsional’naya semantika otsenki (Functional semantics of evaluation). URSS, Moscow (2009)
Carnap, R.: Introduction to Semantics. Harvard University Printing Office, Cambridge (1948)
Jackendoff, R.: Semantics and Cognition, vol. 8. MIT Press, Cambridge (1983)
Myers, D.: Intuition. Series Masters of psychology, Saint-Petersburg (2018)
Duenes, D.: Let intuition be your guide, pp. 113–115, 134, 141. New Woman (1998)
Miller, G.A.: Psychology: the Science of Mental Life. Harper & Row, New York (1962)
Gilovich, T.: How we know what isn’t so: the fallibility of human reason in everyday life. Free Press, New York (1991)
Kharitonov, V.A. et al.: Intellektual’nye tehnologii obosnovanija innovacionnyh reshenij: monografija (Intellectual technology studies innovative solutions: monograph). In: Kharitonov, V.A. (ed.) Perm, Izd-vo Perm.gos. tehn. un-ta (2010)
Kharitonov, V.A., Belyh, A.A.: Tehnologii sovremennogo menedzhmenta (Modern management technologies). In: Kharitonov, V.A. (ed.) Perm, Izd-vo Perm.gos. tehn. un-ta (2007)
Fleischmann, A., Kannengiesser, U., Schmidt, W., Stary, C.: Subject-oriented modeling and execution of multi-agent business processes. In: IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), vol. 2, pp. 138–145. IEEE (2013)
Fleischmann, A., et al.: Subject-Oriented Business Process Management. Springer, Berlin (2012)
Ozhegov, S.I., SHvedova, N.Y.: Tolkovyj slovar’ russkogo yazyka: 72500 slov i 7500 frazeologicheskikh vyrazhenij (Explanatory dictionary of the Russian language: 72500 words and 7500 phraseological expressions). Az, Moscow (1992)
Grzega, J.: Onomasiological approach to word-formation. A comment on Pavol Štekauer: Onomasiological approach to word-formation. SKASE J. Theor. Linguist. 2, 76–80 (2005)
Koch, P.: Lexical Typology. Language Typology and Language Universals: An International Handbook, pp. 1142–1178 (2001)
Krysin, L.P. (ed.): Tolkovyj slovar’ russkoj razgovornoj rechi (Explanatory dictionary of the living Russian language), Moscow, Yazyki slavyanskoj kul’tury, vol. 1 (2014)
Kahneman, D., Hertwig, R.: Do frequency representations eliminate conjuction effects? An exercise in adversarial collaboration. Psychol. Sci. 12, 269–275 (2001)
Alekseev, A.O., Vychegzhanin A.V., Dmitryukov M.S., Krivogina D.N., Melekhin M.I., Kharitonov V.A., Shaydullin R.F.: Avtomatizirovannaya sistema sub”ektno-orientirovannogo resheniya linejnykh zadach ranzhirovaniya/vybora na osnove soedineniya kreativnosti i tekhnologichnosti («Dzhobs-Dekon») (Automated system of subject-oriented solution of linear ranking/selection tasks based on the connection of creativity and technology («Jobs-Decon»)). Certificate of state registration of computer programs Rossiiskaia Federatsiia no. 2018614405 (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Kharitonov, V., Alekseev, A., Krivogina, D., Spirina, V., Shaydullin, R., Safonov, N. (2019). Intuition and Quantification of Mental Variables of Cognition Subjects in the Processes of Comprehension of the Surrounding World. In: Antipova, T., Rocha, A. (eds) Digital Science. DSIC18 2018. Advances in Intelligent Systems and Computing, vol 850. Springer, Cham. https://doi.org/10.1007/978-3-030-02351-5_23
Download citation
DOI: https://doi.org/10.1007/978-3-030-02351-5_23
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-02350-8
Online ISBN: 978-3-030-02351-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)