Collaborative dialogue system for plant simulation based on neuropsychological agents of universal artificial intelligence

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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.

About the authors

Inna A. Pshenokova

Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences

Email: pshenokova_inna@mail.ru
ORCID iD: 0000-0003-3394-7682
SPIN-code: 3535-2963

Candidate of Physics and Mathematics, Head of the Research Center "Intellectual Integrated Information and Management Systems"

Russian Federation, 2, Balkarov street, Nalchik, 360010, Russia

Murat I. Anchekov

Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences

Email: murat.antchok@gmail.com
ORCID iD: 0000-0002-8977-797X
SPIN-code: 3299-0927

Head of the Laboratory of Simulation Modeling of Phenogenetic Processes at the Scientific Research Center of Intelligent Genetic Systems

Russian Federation, 2, Balkarov street, Nalchik, 360010, Russia

Kantemir Ch. Bzhikhatlov

Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
Institute of Computer Science and Problems of Regional Management - branch of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences

Email: haosit13@mail.ru
ORCID iD: 0000-0003-0924-0193
SPIN-code: 9551-5494

Candidate of Physics and Mathematics, Head of the Laboratory of Neurocognitive Autonomous Intelligent Systems; Director of the Institute of Informatics and Regional Management Problems - branch of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences

Russian Federation, 2, Balkarov street, Nalchik, 360010, Russia; 37-a, I. Armand street, Nalchik, 360000, Russia

Zalimkhan V. Nagoev

Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
Institute of Computer Science and Problems of Regional Management - branch of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences

Email: zaliman@mail.ru
ORCID iD: 0000-0001-9549-1823
SPIN-code: 6279-5857

Candidate of Technical Sciences, General Director of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences; Leading Researcher, Multi-Agent Systems Department

Russian Federation, 2, Balkarov street, Nalchik, 360010, Russia; 37-a, I. Armand street, Nalchik, 360000, Russia

Olga V. Nagoeva

Institute of Computer Science and Problems of Regional Management - branch of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences

Email: nagoeva_o@mail.ru
ORCID iD: 0000-0003-2341-7960

Researcher, Multi-Agent Systems Department

Russian Federation, 37-a, I. Armand street, Nalchik, 360000, Russia

Anzor A. Khamov

Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences

Author for correspondence.
Email: opitnoe2014@mail.ru
ORCID iD: 0000-0003-3269-4572

Junior Researcher, Laboratory of Molecular Breeding and Biotechnology

Russian Federation, 2, Balkarov street, Nalchik, 360010, Russia

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Copyright (c) 2026 Pshenokova I.A., Anchekov M.I., Bzhikhatlov K.C., Nagoev Z.V., Nagoeva O.V., Khamov A.A.

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