For citation:
Antonets V. A. Postulates of the cognitive theory of thinking and their consequences. Izvestiya VUZ. Applied Nonlinear Dynamics, 2022, vol. 30, iss. 4, pp. 480-494. DOI: 10.18500/0869-6632-2022-30-4-480-494, EDN: DIVYVT
Postulates of the cognitive theory of thinking and their consequences
Purpose of the work is to create a theoretical model of the thinking process, considered as a set of operations for the formation of cognitive generalizations of the level of categories (concepts). Method for creating a theoretical model is based on the approach used in natural sciences. It involves the selection of a small number of reliable facts, which are accepted as true on the basis of their evidence. On the basis of these facts, established in various scientific disciplines, the axioms of the proposed theory are formulated. Further, from the accepted axioms, they are logically deduced in the form of consequences: a) already known results that could be obtained in various fields of science, including those differing in the content of research, and therefore previously perceived as not related to each other; b) predictions of new connections and patterns in the study area. Results of the work are that it was possible to propose a version of the postulate dynamic theory of thinking, in which the main variables are the number of concepts formed, lost, realized and unconscious by the subject. The introduced postulates and variables made it possible to consider two types of models at the moment. Balanced integrodifferential models that describe the accumulation of the volume of conscious and unconscious concepts, as well as combinatorial models that describe the interactions of concepts. Conclusion. The proposed version of the dynamic thinking model made it possible to construct reasonable theoretical descriptions of the process of spontaneous language acquisition by bilingual children in a bilingual environment and a person’s ability to compare semantically heterogeneous objects with each other. The logical scheme of the approach and the concepts used in it made it possible to connect some facts known in psychology and in an explicitly compact formulation of the difference in the structure of scientific and artistic generalizations of the picture of the world.
- Zorina ZA, Smirnova AA. What the «Talking» Monkeys Told About: Are Higher Animals Capable of Operating With Symbols? Moscow: Yazyki Slavyanskoy Kul’tury (Studia naturalia); 2006. 424 p. (in Russian).
- Nagel T. What is it like to be a bat? The Philosophical Review. 1974;83(4):435–450. DOI: 10.2307/2183914.
- Husserl E. Meditations Cartesiennes. Introductiona la phenomenologie. Paris: Armand Collin; 1931. 136 p. (in French).
- Chalmers DJ. The Conscious Mind: In Search of a Fundamental Theory. Oxford: Oxford University Press; 1996. 432 p.
- Chalmers DJ. Facing up to the problem of consciousness. Journal of Consciousness Studies. 1995;2(3):200–219.
- Goodwin KA, Goodwin CJ. Research in Psychology: Methods and Design. 8th Edition. Hoboken, NJ: John Wiley & Sons Inc.; 2016. 480 p.
- Thaler RH, Sunstein CR. Nudge: Improving Decisions about Health, Wealth, and Happiness. New Haven, Connecticut: Yale University Press; 2008. 312 p.
- Thagard P. Being interdisciplinary: Trading zones in cognitive science. In: Derry SJ, Schunn CD, Gernsbacher MA, editors. Interdisciplinary Collaboration: An Emerging Cognitive Science. Mahwah, NJ: Erlbaum; 2005. P. 317–339.
- Born M. Statistical interpretation of quantum mechanics. Science. 1955;122(3172):675–679.
- Heisenberg W. Uber quantentheoretische Umdeutung kinematischer und mechanischer Beziehungen. Zeitschrift fur Physik. 1925;33(1):879–893 (in German). DOI: 10.1007/BF01328377.
- Schrodinger Е. Quantisierung als Eigenwertproblem (Erste Mitteilung). Annalen der Physik. 1926;384(4):361–376 (in German). DOI: 10.1002/andp.19263840404.
- Born M. Quantenmechanik der Stobvorgange. Zeitschrift fur Physik. 1926;38(11–12):803–827 (in German). DOI: 10.1007/BF01397184.
- Antonets VA. The postulates of the theory of thinking and their consequences. Part 1. In: Proceedings of the VI All-Russian Conference «Nonlinear Dynamics in Cognitive Research — 2019». Nizhny Novgorod, 23–27 September 2019. Nizhny Novgorod: Institute of Applied Physics RAS; 2019. P. 34–37 (in Russian).
- Neimark YI. Mathematical Modeling as Science and Art. 2nd edition. Nizhny Novgorod: Nizhny Novgorod University Publishing; 2010. 420 p. (in Russian).
- Filippov AT. Many-Sided Soliton. Ser. Library «Quantum». Vol. 48. Moscow: Nauka; 1986. 222 p. (in Russian).
- Le QV, Ranzato MA, Monga R, Devin M, Chen K, Corrado GS, Dean J, Ng AY. Building high level features using large scale unsupervised learning. In: Proceedings of the 29th International Conference on Machine Learning. 26 June–1 July 2012, Edinburgh, Scotland, UK. Madison, WI, United States: Omnipress; 2012. P. 507–514.
- Markoff J. How many computers to identify a cat? 16,000 [Electronic resource]. The New York Times. June 25, 2012. Available from: https://www.nytimes.com/2012/06/26/technology/ in-a-big-network-of-computers-evidence-of-machine-learning.html.
- Wolf M. Proust and the Squid: The Story and Science of the Reading Brain. New York: Harper Perennial; 2008. 336 p.
- Ostler N. Empires of the Word: A Language History of the World. New York: Harper Collins; 2005. 640 p.
- Pease DM, Gleason JB, Pan BA. Learning the meaning of words: Semantic development and beyond. In: Gleason JB, editor. The Development of Language. 3rd ed. New York: Macmillan; 1993. P. 115–149.
- Bekhterev VM. What is suggestion? In: Bulletin of Psychology, Criminal Anthropology and Hypnotism. No. 1. Saint Petersburg; 1904. 144 p. (in Russian).
- Kahneman D. Maps of bounded rationality: Psychology for behavioral economics. The American Economic Review. 2003;93(5):1449–1475.
- Herskovits MJ. Man and his Works: The Science of Cultural Anthropology. New York: Alfred A. Knopf Inc.; 1948. 678 p.
- Antonets VA, Levchuk IV. Subjective evaluation of semantically unlike objects during exchange transactions. Izvestiya VUZ. Applied Nonlinear Dynamics. 2011;19(6):75–82 (in Russian). DOI: 10.18500/0869-6632-2011-19-6-75-82.
- Harari YN. Sapiens. A Brief History of Humankind. London: Harvill Secker; 2015. 443 p.
- Nikitin IS. Seminarist Diary. Moscow: Sovetskaya Rossiya; 1976. 160 p. (in Russian).
- Tsukerman VD, Kharybina ZS, Kulakov SV. A mathematical model of hippocampal spatial encoding. II. Neurodynamic correlates of mental trajectories and decision-making problem. Mathematical Biology and Bioinformatics. 2014;9(1):216–256 (in Russian). DOI: 10.17537/2014.9.216.
- Tsukerman VD, Kulakov SV. A temporal ratio model of the episodic memory organization in the ECI-networks. Contemporary Engineering Sciences. 2015;8(19):865–876. DOI: 10.12988/ces.2015.57215.
- Tsukerman VD. What does the neurodynamics of the brain hide? (Modern data and model). In: Proceedings of the VI All-Russian Conference «Nonlinear Dynamics in Cognitive Research — 2019». Nizhny Novgorod, 23–27 September 2019. Nizhny Novgorod: Institute of Applied Physics RAS; 2019. P. 222–225 (in Russian).
- Gallup Jr GG. Chimpanzees: Self-Recognition. Science. 1970;167(3914):86–87. DOI: 10.1126/science.167.3914.86.
- Casanova G. Memoires de J. Casanova de Seingaltecrits par lui-meme. Tome Premier. Garnier ˆ Freres; 1880. 532 p. (in French).
- Alexandrova NS, Antonets VA, Nuidel IV, Shemagina OV, Yakhno VG. Modeling the modes of spontaneous learning of several languages of communication. In: Proceedings of the VI All Russian Conference «Nonlinear Dynamics in Cognitive Research – 2019». Nizhny Novgorod, 23–27 September 2019. Nizhny Novgorod: Institute of Applied Physics RAS; 2019. P. 27–30 (in Russian).
- Alexandrova NS, Antonets VA, Kuzenkov OA, Nuidel IV, Shemagina OV, Yakhno VG. Bilin gualism as an unstable state. In: Velichkovsky BM, Balaban PM, Ushakov VL, editors. Advances in Cognitive Research, Artificial Intelligence and Neuroinformatics. Intercognsci 2020. Vol. 1358 of Advances in Intelligent Systems and Computing. Cham: Springer; 2021. P. 359–367. DOI: 10.1007/978-3-030-71637-0_41.
- Antonets VA. Simulation of intuitive evaluation of unlike semantic objects. In: XXI International Scientific and Technical Conference «Neuroinformatics-2019»: Part 1. Moscow, 07–11 October 2019. Moscow: Moscow Institute of Physics and Technology Publishing; 2019. P. 141–149 (in Russian).
- Osgood CE, Suci GJ, Tannenbaum PH. The Measurement of Meaning. Urbana: University of Illinois Press; 1957. 342 p.
- 1978 reads