Synthesis of cognitive-constructive process management in human-technical-natural systems

The paper deals with the problems of synthesizing emotionally oriented management of cognitive-constructive processes in human-technical-natural systems with respect to the influence of heterogeneous illusions and misconceptions. The general problem statement is examined, logical models that reflect the task are proposed. The basic foundations of the synthesis of various factors for solving problems are identified. Emotions, illusions, and misconceptions are considered among such factors. This is done to overcome emerging contradictions and address the problems with due regard for the positive and negative aspects of the listed factors. Another goal of this is the formation of an adequate environment and means of cognitive and constructive activity in terms of complex system specifics, including humans, technology, and natural objects. The foundations for a new systematization of factors and adequate means of cognitive-constructive activity are being created. These basics take into account the influence of emotions, illusions and misconceptions. Individual and collective characteristics of intellectual and information resources are analyzed along with the features of objective and subjective aspects of control synthesis. New abstract and specific models are being designed that improve cognitive and constructive activity, the development and use of knowledge for the problems being solved.

1. Kuznecov O.L., Bol'shakov B.E. Ustojchivoe razvitie: Nauchnye osnovy proektirovanija v sisteme priroda – obshhestvo – chelovek. Sankt-Peterburg-Moskva-Dubna: Gumanistika; 2002. 616 p. (In Russ.)

2. Kuznecov O.L., Kuznecov P.G., Bol'shakov B.E. Sintez mezhdisciplinarnyh znanij i ustojchivoe razvitie v sisteme Prostranstvo-Vremja. Moskva: Izdatel'stvo Russkogo Kosmicheskogo Obshhestva; 2018. 276 p. (In Russ.)

3. Fradkov A.L. Kiberfizicheskie sistemy: idei i perspektivy. Trudy XIII Vserossijskogo soveshhanija po problemam upravlenija VSPU-2019. Institut problem upravlenija im. V.A. Trapeznikova RAN. 2019:39. (In Russ.)

4. Lee E.A., The Past, Present and Future of Cyber-Physical Systems: A Focus on Models. Sensors.2015;15:4837–4869, 2015. DOI:10.3390/s150304837R (accessed on 20.05.2022).

5. Petrin K.V., Terjaev E.D., Filimonov A.B., Filimonov N.B. Mul'tiagentnye tehnologii v jergaticheskih sistemah upravlenija. Izvestija JuFU. Tehnicheskie nauki = Izvestia SFedU. Technical science. 2010;104(3):7–13. (In Russ.)

6. Filimonov N.B. Predmet sovremennoj mehatroniki i ee mesto v sisteme nauk. Mnogojadernye processory, parallel'noe programmirovanie, PLIS, sistemy obrabotki signalov = Multicore processors, parallel programming, FPGAs, signal processing systems. 2017;1(7):151–159. (In Russ.)

7. Korenev G.V. Cel' i prisposobljaemost' dvizhenija. M.: Nauka; 1974. 528 p. (In Russ.).

8. Smoljaninov V.V. Ot invariantov geometrii k invariantam upravlenija. Intellektual'nye processy i ih modelirovanie. M.: Nauka; 1987:66–111. (In Russ.)

9. Smoljaninov V.V. Libernetika – nauka o svobodah sistemnoj organizacii. Most. 2000;1:28–30. (In Russ.)

10. Hoque M.E. Three Domains of Learning: Cognitive, Affective and Psychomotor. The Journal of EFL Education and Research. 2016;2(3):45–51.

11. Robinson M.D., Watkins E.R., Harmon-Jones E. Handbook of Cognition and Emotion. New York London: The Guilford Press; 2013. 594 p.

12. Falikman M., Asmolov A. Cognitive Psychology of Activity: Attention as a Constructive Process. Revue internationale du CRIRES.2017;4(1):54–62.

13. Carroll E. Izard. Emotion Theory and Research: Highlights, Unanswered Questions, and Emerging Issues. Annu. Rev. Psychol. 2009;60:1–25. DOI: 10.1146/annurev.psych.60.110707.163539 (accessed on 20.05.2022).

14. Cornelius R.R. Theoretical approaches to emotion. Available by: –http://www.cs.columbia.edu/~julia/papers/cornelius00.pdf (accessed on 20.11.2021).

15. Shiller A. The Role of Theories of Embodied Cognition in Research and Modeling of Emotions. Russian Journal of Philosophical Sciences. 2019;62:124–138. DOI: 10.30727/0235-1188-2019-62-5-124-138. (accessed on 20.05.2022).

16. Ochsner K., Gross J.J. The Cognitive Control of Emotion. Trends in cognitive sciences. 2005;9(5):241–248.

17. Beyan C., Karumuri S., Volpe G., Camurri A., Niewiadomski R. Modeling Multiple Temporal Scales of Full-body Movements for Emotion Classification. IEEE Transactions on Affective Computing. 2021:1–12. DOI: 10.1109/TAFFC.2021.3095425. Available by: https://ieeexplore.ieee.org/document/9477164 (accessed on 20.05.2022).

18. Smirnov A.V., Levashova T.V., Ponomarev A.V. Ontologicheskaja model' podderzhki prinjatija reshenij na osnove cheloveko-mashinnogo kollektivnogo intellekta. Iskusstvennyj intellekt i prinjatie reshenij = Artificial Intelligence and Decision Making. 2020;3:48–60. DOI:10.14357/20718594200305 (accessed on 20.05.2022). (In Russ.)

19. Moskvin A.A., Shishkin A.G. Primenenie metodov glubokogo obuchenija dlja raspoznavanija jemocional'nogo sostojanija cheloveka na videoizobrazheniiju. Iskusstvennyj intellekt i prinjatie reshenij = Artificial Intelligence and Decision Making. 2019;2:3–14. DOI: 10.14357/20718594190201 (accessed on 20.05.2022). (In Russ.)