Talanov M., Karabulatova I.S., Erokhin V., Vallverdú J. Sociomorphic Neuromoodeling in Academic Emotionology as an Integration of Neurocognitive and Psycholinguistic Knowledge in Artificial Intelligence
DOI: https://doi.org/10.15688/jvolsu2.2025.1.11
Max Talanov
PhD (Mathematics), Associate Professor, Institute of Artificial Intelligence, Novi Sad, Serbia; Associate Professor, University of Messina, Messina, Italy
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https://orcid.org/0000-0002-6727-0983
Irina S. Karabulatova (Corresponding Author)
Doctor of Sciences (Philology), Professor, Head of the Research Center for Digital Humanities, Heilongjiang University, Harbin, China
Leading Researcher, Laboratory Machine Learning and Semantic Analysis, Institute of Artificial Intelligence, Lomonosov Moscow State University, Moscow, Russia
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https://orcid.org/0000-0002-4228-3235
Victor Erokhin
Doctor of Sciences (Physics and Mathematics), Professor, Director of Research,(National Council of the Research of Italy), Institute of Materials for Electronics and Magnetism, Parma, Italy
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https://orcid.org/0000-0002-6297-5538
Jordi Vallverdú
PhD (Philosophy), Associate Professor, Department of Philosophy, ICREA Academia, University of Barcelona, Barcelona, Catalonia, Spain
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https://orcid.org/0000-0001-9975-7780
Abstract. The article analyzes the problems of academic emotionology as an applied branch of emotionology (the science of emotions) based on the use of sociomorphic neuromodeling, viewed through the prism of academic discourse in the educational system. For the first time, the proposed concept of sociomorphic neuromodeling is aimed not only at explaining, but also at applying a socially inherited mechanism of emotional response in a particular ethnic environment, which is reflected in the specifics of neuro-psychophysiological signals as a "deep" language. The main angle of the analysis is due to a non-discrete approach to assessing emotivity in communication and emotions in the speech and behavioral matrix of a modern native speaker. The authors consider the evidence of the proposed hypothesis verifying it with the work carried out on the emotivity analyzer of the speech and behavioral profile of a carrier a natural intelligence carrier and a "smart assistant" as a carrier of artificial intelligence. This representation allows us to undertake methodological holism towards the visual representation of emotions within NLP. The proposed "deep" neurocognitive designer of a "smart assistant" for social engineering rests on understanding neuromodulators activities as the neuro-psycholinguistic mechanisms of the human brain, which makes available the prospects for the development of the analyzer and the possibility of the proposed interface usage. The suggested refinement of the gradation of natural emotional intelligence and emotional artificial intelligence solves the issues of the general theory of emotions, which is an important step for further development of robotic humanoid systems based on the biomimetic concept. Authors' contribution. M. Talanov – development of a bioinspired "smart assistant" program, development of a mathematical model, writing part of the project; I.S. Karabulatova – general idea, development of the gradation of emotional intelligence, analysis of the history of the issue of psychometric research, writing a part, drafting instructions, editing; V. Erokhin – development of processes for biosensors and bioelectronics in the framework of neuromorphic computing; conducting experiments for bioinspired computing; clarifying terminology; J. Vallverdú – development of a project design using new intellectual solutions, development of a cognitive model, writing of a part of the project.
Key words: academic emotionology, neurocognitive modeling, sociomorphic neuromodeling, biomimetics, artificial intelligence with neuromodulatory architecture, emotive communication, neuro-psychophysiological communication, NLP.
Citation. Talanov M., Karabulatova I.S., Erokhin V., Vallverdú J. Sociomorphic Neuromodeling in Academic Emotionology as an Integration of Neurocognitive and Psycholinguistic Knowledge in Artificial Intelligence. Vestnik Volgogradskogo gosudarstvennogo universiteta. Seriya 2. Yazykoznanie [Science Journal of Volgograd State University. Linguistics], 2025, vol. 24, no. 1, pp. 131-148. DOI: https://doi.org/10.15688/jvolsu2.2025.1.11
Sociomorphic Neuromoodeling in Academic Emotionology as an Integration of Neurocognitive and Psycholinguistic Knowledge in Artificial Intelligence by Talanov M., Karabulatova I.S., Erokhin V., Vallverdú J. is licensed under CC BY 4.0
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