Influence of Emotions on Decision Making by an Intelligent Robot
- Authors: Gorodetskiy A.E.1, Kurbanov V.G.1, Tarasova I.L.1
-
Affiliations:
- Institute for Problems of Mechanical Engineering of the Russian Academy of Sciences
- Issue: No 3 (2023)
- Pages: 36-44
- Section: Intelligent Systems and Robots
- URL: https://journal-vniispk.ru/2071-8594/article/view/270340
- DOI: https://doi.org/10.14357/20718594230304
- ID: 270340
Cite item
Full Text
Abstract
The article proposes new methods for assessing the strength of emotions that affect the decision-making of an intelligent robot when optimizing a route. The methods offer approaches to assess the strength of emotion based on the use of sensory signals and the analysis of images in the choice environment. The images are formed after the processing of sensory signals and, on their basis, lines of parameters and characteristics of the reference sections of movement are created. They are compared with standards that characterize the logical-probabilistic and/or logical-linguistic parameters and characteristics of the reference sections of the routes. Algorithms for choosing the optimal routes for an intelligent robot based on the proposed methods for assessing the strength of emotions are described.
Full Text

About the authors
Andrey E. Gorodetskiy
Institute for Problems of Mechanical Engineering of the Russian Academy of Sciences
Email: g27764@yandex.ru
Doctor of technical sciences, professor. Chief Researcher
Russian Federation, St. PetersburgVugar G. Kurbanov
Institute for Problems of Mechanical Engineering of the Russian Academy of Sciences
Author for correspondence.
Email: vugar_borchali@yahoo.com
Candidate of Physical and Mathematical Sciences, Senior Researcher
Russian Federation, St. PetersburgIrina L. Tarasova
Institute for Problems of Mechanical Engineering of the Russian Academy of Sciences
Email: g17265@yandex.ru
Candidate of Technical Sciences, Senior Researcher
Russian Federation, St. PetersburgReferences
- Kunc G., O Donnel S. Upravlenie: sistemnyj i situacionnyj analiz upravlencheskih funkcij [Management: system and situational analysis of management functions]. Moscow:Progress Publs. 2002. 588 p.
- Aleksandrov O.P. 2016. Psikhologiya robotov kak nauka [Psychology of robots as a science].Materialy 10-go Mezhdunarodnogo nauchno–prakticeskogo konferenchiyi “ Novoe slovo v nauke:perspektivy razvitiya”[ Proceedings of the 10th International Scientific and Practical Conference “A New Word in Science: Prospects for Development].Cheboksary. 2016. P. 192-198.
- Karpov, V.E., Karpova, I.P., Kulinich A.A. Sotsial'nye soobshchestva robotov. [Social communities of robots]. Moscow: URSS Publs. 2019. 352 p.
- Karpov V.E., Val'tsev V.B. Dinamicheskoe planirovanie povedeniya robota na osnove seti «intellektual'nykh» neironov [Dynamic Planning of Robot Behavior Based on an “Intellectual” Neuron Network] // Scientific and Technical Information Processing. 2009. No 2. P. 58–69.
- Karpov V.E. Modeli sotsial'nogo povedeniya v gruppovoi robototekhnike[ Models of social behavior in group robotics ]Upravlenie bol'shimi sistemami. [Control of large systems] 2016. No 59. P. 165–232.
- Granovskaya R. M. Ehlementy prakticheskoi psikhologii[Elements of practical psychology]. Saint-Petersburg: Rech Publs. 2003. 655 p.
- Barteneva D., Lau N., Reis L.P. A Computational Study on Emotions and Temperament in Multi-Agent Systems // Proc. AISB’07: Artificial and Ambient Intelligence, New-castle, GB, CoRR Vol.abs/0809.4784, 2008.
- Karpov V.E. Ehmotsii i temperament robotov. Povedencheskie aspekty [Emotions and Temperament of Robots: Behavioral Aspects] // Journal of Computer and Systems Sciences International. 2014. No 5. P. 126–145.
- Simonov P.V. Potrebnostno-informatsionnaya teoriya ehmotsii [Need-information theory of emotions]. Voprosy psikhologii. [Questions of psychology ] 1982. No 6. P. 44–56.
- Simonov P.V. Otrazhatel'no-otsenochnaya funktsiya ehmotsii.[ Reflective-evaluative function of emotions]. Moscow: Tsentr EAOI Publs. 2011.
- Karpov V.E. Imprinting i tsentral'nye motornye programmy v robototekhnike[Imprinting and central motor programs in robotics] Sb. trudov IV Mezhdunarodnoi nauchno-prakticheskoi konferentsii «Integrirovannye modeli i myagkie vychisleniya v iskusstvennom intellekte»[ Proceedings of the IV International Scientific and Practical Conference "Integrated Models and Soft Computing in Artificial Intelligence"]. Moscow. 2007. P. 322–332.
- Gorodetskiy A.E., Kurbanov V.G., Tarasova I.L. Bezopasnoe upravlenie SEMS pri gruppovom vzaimodeistvii [Safe control of SEMS in group interaction]. // Informatsionno-upravlyayushchie sistemy [Information and control systems] 2019. No1. P. 23–31.
- Gorodetskiy A.E., Tarasova I.L., Kurbanov V.G. Reduction of Logical-Probabilistic and Logical-Linguistic Constraints to Interval Constraints in the Synthesis of Optimal SEMS. In: Gorodetskiy A., Tarasova I. (eds) Smart Electromechanical Systems. Studies in Systems, Decision and Control, 2019. V. 174. Springer, Cham.
- Gorodetskiy A.E., Tarasova I.L. Logiko-lingvisticheskie otsenki riskov pri vybore optimal'nogo marshruta dvizheniya [Logical-linguistic risk assessments when choosing the optimal route]. Gibridnye i sinergeticheskie intellektual'nye sistemy. Materialy VI Vserossiiskoi Pospelovskoi konferentsii s mezhdunarodnym uchastiem “Gibridnye i sinergeticheskie intellektual'nye sistemy” [Proceedings of the VI All-Russian Pospelov Conference with international participation “Hybrid and synergetic intelligent systems”]. Zelenogradsk. 2022. P. 347-358. 2020.
- Gorodetskiy A.E., Kurbanov V.G., Tarasova I.L. Sposob klassifikatsii izobrazhenii [Image classification method]. Patent RF No. 2756778.
- Andrey E. Gorodetskiy, Irina L. Tarasova and Vugar G. Kurbanov. Classification of Images in Decision Making in the Central Nervous System of SEMS. / Andrey E. Gorodetskiy, Irina L. Tarasova. Smart Electromechanical Systems. Behavioral Decision Making / Studies in Systems, Decision and Control 352, Springer Nature Switzerland AG, 2021, P. 187-196.
- Pekelis, V. D. Tvoi vozmozhnosti, chelovek! [Your opportunities, man!]. Мoscow: Znanie Publs. 1986. 272 p.
- A.E. Gorodetskiy, V.G. Kurbanov and I.L. Tarasova. Formation of Images Based on the Sensor Data of Robots.// Pattern Recognition and Image Analysis, 2020. V. 30, No 4. P. 722-726.
- Gorodetskiy A.E., Tarasova I.L., Kurbanov V.G. Logical-Mathematical Model of Decision Making in Central Nervous System SEMS. In: Gorodetskiy, A., Kurbanov, V. (eds) Smart Electromechanical Systems: The Central Nervous System. Studies in Systems, Decision and Control, 2017 V. 95. Springer, Cham, P. 51-60.
Supplementary files
