Collaborative dialogue system for plant simulation based on neuropsychological agents of universal artificial intelligence
I.A. Pshenokova, M.I. Anchekov, K.Ch. Bzhikhatlov, Z.V. Nagoev, O.V. Nagoeva, A.A. Khamov
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Abstract: The relevance of this work stems from the need to enhance the productivity, manageability, and efficiency of plant breeding and cultivation processes by creating predictive models. A general architecture for plant simulation systems based on universal artificial intelligence agents is developed. The feasibility of using a design metaphor for decentralized collaborative dialog systems based on universal artificial intelligence agents for developing such systems is substantiated. Generalized multi-agent training algorithms are developed for controlling neurocognitive architectures of artificial intelligence agents in plant simulation models; these algorithms are based on knowledge extracted from texts and natural
language utterances, as well as the implementation of exploratory behavior by autonomous mobile robots in a real environment.
Aim. The study is to develop a methodology for creating simulation models of plants based on dialogue agents of universal artificial intelligence.
Research methods. The possibility of using a design metaphor for decentralized collaborative dialogue systems based on universal artificial intelligence agents to develop such systems is substantiated.
Results. Fundamental principles for constructing open-source plant simulation models with high expressiveness and predictive power have been developed based on neuropsychological agents from universal artificial intelligence.
Conclusion. A general architecture for plant simulation systems has been developed created on universal artificial intelligence agents and autonomous mobile robots.
Keywords: plant simulation modeling, general artificial intelligence agents, neurocognitive systems and algorithms, digital phenotyping, molecular structure of plants
For citation. Pshenokova I.A., Anchekov M.I., Bzhikhatlov K.Ch., Nagoev Z.V., Nagoeva O.V., Khamov A.A. Collaborative dialogue system for plant simulation based on neuropsychological agents of universal artificial intelligence. News of the Kabardino-Balkarian Scientific Center of RAS. 2025. Vol. 27. No. 6. Pp. 209–224. DOI: 10.35330/1991-6639-2025-27-6-209-224
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Information about the authors
Inna A. Pshenokova, Candidate of Physics and Mathematics, Head of the Research Center “Intellectual Integrated Information and Management Systems”, Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
2, Balkarov street, Nalchik, 360010, Russia;
pshenokova_inna@mail.ru, ORCID: https://orcid.org/0000-0003-3394-7682, SPIN-code: 3535-2963
Murat I. Anchekov, Head of the Laboratory of Simulation Modeling of Phenogenetic Processes at the Scientific Research Center of Intelligent Genetic Systems, Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
2, Balkarov street, Nalchik, 360010, Russia;
murat.antchok@gmail.com, ORCID: https://orcid.org/0000-0002-8977-797X, SPIN-code: 3299-0927
Kantemir Ch. Bzhikhatlov, Candidate of Physics and Mathematics, Head of the Laboratory of Neurocognitive Autonomous Intelligent Systems, Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
2, Balkarov street, Nalchik, 360010, Russia;
Director of the Institute of Informatics and Regional Management Problems – branch of the KabardinoBalkarian Scientific Center of the Russian Academy of Sciences;
37-a, I. Armand street, Nalchik, 360000, Russia;
haosit13@mail.ru, ORCID: https://orcid.org/0000-0003-0924-0193, SPIN-code: 9551-5494
Zalimkhan V. Nagoev, Candidate of Technical Sciences, General Director of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
2, Balkarov street, Nalchik, 360010, Russia;
Leading Researcher, Multi-Agent Systems Department, Institute of Computer Science and Problems of Regional Management – branch of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
37-a, I. Armand street, Nalchik, 360000, Russia;
zaliman@mail.ru, ORCID: https://orcid.org/0000-0001-9549-1823, SPIN-code: 6279-5857
Olga V. Nagoeva, Researcher, Multi-Agent Systems Department, Institute of Computer Science and Problems of Regional Management – branch of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
37-a, I. Armand street, Nalchik, 360000, Russia;
nagoeva_o@mail.ru, ORCID: https://orcid.org/0000-0003-2341-7960
Anzor A. Khamov, Junior Researcher, Laboratory of Molecular Breeding and Biotechnology, Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
2, Balkarov street, Nalchik, 360010, Russia;
opitnoe2014@mail.ru, ORCID: https://orcid.org/0000-0003-3269-4572