Simulation model of energy exchange in an intelligent decision-making system based on a multi-agent neurocognitive architecture
The paper proposes a simulation model of energy exchange in an intelligent decision-making system based on a multi-agent neurocognitive architecture that has a neurofunctional and structural similarity to the neural groups of the brain. An invariant of multi-agent neurocognitive architecture is pres...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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EDP Sciences
2023-01-01
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Series: | E3S Web of Conferences |
Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/57/e3sconf_ebwff2023_10038.pdf |
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author | Pshenokova Inna Bzhikhatlov Kantemir Nagoeva Olga |
author_facet | Pshenokova Inna Bzhikhatlov Kantemir Nagoeva Olga |
author_sort | Pshenokova Inna |
collection | DOAJ |
description | The paper proposes a simulation model of energy exchange in an intelligent decision-making system based on a multi-agent neurocognitive architecture that has a neurofunctional and structural similarity to the neural groups of the brain. An invariant of multi-agent neurocognitive architecture is presented. An algorithm for energy exchange between agneurons and actors at different levels of the intelligent agent invariant has been developed. Further work will be to test the presented architecture in the simulation program being developed. |
first_indexed | 2024-03-11T21:48:44Z |
format | Article |
id | doaj.art-a19f26ed11ac4550b047d01b79411c87 |
institution | Directory Open Access Journal |
issn | 2267-1242 |
language | English |
last_indexed | 2024-03-11T21:48:44Z |
publishDate | 2023-01-01 |
publisher | EDP Sciences |
record_format | Article |
series | E3S Web of Conferences |
spelling | doaj.art-a19f26ed11ac4550b047d01b79411c872023-09-26T10:10:51ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014201003810.1051/e3sconf/202342010038e3sconf_ebwff2023_10038Simulation model of energy exchange in an intelligent decision-making system based on a multi-agent neurocognitive architecturePshenokova Inna0Bzhikhatlov Kantemir1Nagoeva Olga2Institute of Computer Science and Problems of Regional Management of KBSC of the Russian Academy of SciencesThe Federal State Institution of Science Federal Scientific Center Kabardino-Balkarian Scientific Center of Russian Academy of SciencesInstitute of Computer Science and Problems of Regional Management of KBSC of the Russian Academy of SciencesThe paper proposes a simulation model of energy exchange in an intelligent decision-making system based on a multi-agent neurocognitive architecture that has a neurofunctional and structural similarity to the neural groups of the brain. An invariant of multi-agent neurocognitive architecture is presented. An algorithm for energy exchange between agneurons and actors at different levels of the intelligent agent invariant has been developed. Further work will be to test the presented architecture in the simulation program being developed.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/57/e3sconf_ebwff2023_10038.pdf |
spellingShingle | Pshenokova Inna Bzhikhatlov Kantemir Nagoeva Olga Simulation model of energy exchange in an intelligent decision-making system based on a multi-agent neurocognitive architecture E3S Web of Conferences |
title | Simulation model of energy exchange in an intelligent decision-making system based on a multi-agent neurocognitive architecture |
title_full | Simulation model of energy exchange in an intelligent decision-making system based on a multi-agent neurocognitive architecture |
title_fullStr | Simulation model of energy exchange in an intelligent decision-making system based on a multi-agent neurocognitive architecture |
title_full_unstemmed | Simulation model of energy exchange in an intelligent decision-making system based on a multi-agent neurocognitive architecture |
title_short | Simulation model of energy exchange in an intelligent decision-making system based on a multi-agent neurocognitive architecture |
title_sort | simulation model of energy exchange in an intelligent decision making system based on a multi agent neurocognitive architecture |
url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/57/e3sconf_ebwff2023_10038.pdf |
work_keys_str_mv | AT pshenokovainna simulationmodelofenergyexchangeinanintelligentdecisionmakingsystembasedonamultiagentneurocognitivearchitecture AT bzhikhatlovkantemir simulationmodelofenergyexchangeinanintelligentdecisionmakingsystembasedonamultiagentneurocognitivearchitecture AT nagoevaolga simulationmodelofenergyexchangeinanintelligentdecisionmakingsystembasedonamultiagentneurocognitivearchitecture |