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...

Full description

Bibliographic Details
Main Authors: Pshenokova Inna, Bzhikhatlov Kantemir, Nagoeva Olga
Format: Article
Language:English
Published: EDP Sciences 2023-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/57/e3sconf_ebwff2023_10038.pdf
_version_ 1797673670421774336
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