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This article is cited in 6 scientific papers (total in 6 papers)
System analysis, management and information processing
Autonomous formation of spatial ontologies
in the intelligent decision-making system of a mobile agricultural robot based on the self-organization
of multi-agent neurocognitive architectures
Z. V. Nagoeva, K. Ch. Bzhikhatlova, I. A. Pshenokovab, O. V. Nagoevab, B. A. Atalikovb, N. A. Chechenovab, D. A. Malyshevb a FSBSE «Federal scientific center «Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences», 360002, KBR, Nalchik, 2, Balkarova street
b Institute of Computer Science and Problems of Regional Management –
branch of Federal public budgetary scientific establishment "Federal scientific center
"Kabardin-Balkar Scientific Center of the Russian Academy of Sciences",
360000, KBR, Nalchik, 37-a, I. Armand St.
Abstract:
The paper contains the results on autonomous ontologies formation gained with the help of controlling neurocognitive architecture deployed on an autonomous mobile agricultural robot. The basic principles of the automatic construction of ontologies of intelligent agents based on multi-agent neurocognitive architectures are formed. A multi-agent algorithm for synthesizing the behavior of an intelligent agent, aimed at the autonomous formation of the missing spatial ontology elements "on demand" by completing neurocognitive architectures has been developed. An algorithm for building such ontologies with the help of growth and development of a set and connections of agents-neurons in the body of controlling multiagent neurocognitive architecture of an intelligent agent has been composed.
Keywords:
artificial intelligence, robotics, neural networks, cognitive architectures, multiagent systems, ontologies.
Received: 10.12.2020
Citation:
Z. V. Nagoev, K. Ch. Bzhikhatlov, I. A. Pshenokova, O. V. Nagoeva, B. A. Atalikov, N. A. Chechenova, D. A. Malyshev, “Autonomous formation of spatial ontologies
in the intelligent decision-making system of a mobile agricultural robot based on the self-organization
of multi-agent neurocognitive architectures”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2020, no. 6, 68–79
Linking options:
https://www.mathnet.ru/eng/izkab252 https://www.mathnet.ru/eng/izkab/y2020/i6/p68
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