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Cognitive Architecture for Decision-Making Based on Brain Principles Programming. / Kolonin, Anton; Kurpatov, Andrey; Molchanov, Artem et al.

2022. 180-189 Paper presented at 13th Annual Meeting of the BICA Society: 2022 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, Guadalajara, Mexico.

Research output: Contribution to conference › Paper › peer-review

Harvard

Kolonin, A, Kurpatov, A, Molchanov, A & Averyanov, G 2022, 'Cognitive Architecture for Decision-Making Based on Brain Principles Programming', Paper presented at 13th Annual Meeting of the BICA Society: 2022 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, Guadalajara, Mexico, 22.09.2022 - 25.09.2022 pp. 180-189. https://doi.org/10.1016/j.procs.2022.11.054

APA

Kolonin, A., Kurpatov, A., Molchanov, A., & Averyanov, G. (2022). Cognitive Architecture for Decision-Making Based on Brain Principles Programming. 180-189. Paper presented at 13th Annual Meeting of the BICA Society: 2022 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, Guadalajara, Mexico. https://doi.org/10.1016/j.procs.2022.11.054

Vancouver

Kolonin A, Kurpatov A, Molchanov A, Averyanov G. Cognitive Architecture for Decision-Making Based on Brain Principles Programming. 2022. Paper presented at 13th Annual Meeting of the BICA Society: 2022 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, Guadalajara, Mexico. doi: 10.1016/j.procs.2022.11.054

Author

Kolonin, Anton ; Kurpatov, Andrey ; Molchanov, Artem et al. / Cognitive Architecture for Decision-Making Based on Brain Principles Programming. Paper presented at 13th Annual Meeting of the BICA Society: 2022 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, Guadalajara, Mexico.10 p.

BibTeX

@conference{ce79f22b189b435d92327732159351bd,
title = "Cognitive Architecture for Decision-Making Based on Brain Principles Programming",
abstract = "We describe a cognitive architecture intended to solve a wide range of problems based on the five identified principles of brain activity, with their implementation in three subsystems: Logical-probabilistic inference, probabilistic formal concepts, and functional systems theory. Building an architecture involves the implementation of a task-driven approach that allows defining the target functions of applied applications as tasks formulated in terms of the operating environment corresponding to the task, expressed in the applied ontology. We provide a basic ontology for a number of practical applications as well as for the subject domain ontologies based upon it, describe the proposed architecture, and give possible examples of the execution of these applications in this architecture.",
keywords = "brain principles programming, cognitive architecture, formal concept analysis, functional system theory, probabilistic logic, subject domain ontology, task-driven approach",
author = "Anton Kolonin and Andrey Kurpatov and Artem Molchanov and Gennadiy Averyanov",
year = "2022",
doi = "10.1016/j.procs.2022.11.054",
language = "English",
pages = "180--189",
note = "13th Annual Meeting of the BICA Society: 2022 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, BICA*AI 2022 ; Conference date: 22-09-2022 Through 25-09-2022",

}

RIS

TY - CONF

T1 - Cognitive Architecture for Decision-Making Based on Brain Principles Programming

AU - Kolonin, Anton

AU - Kurpatov, Andrey

AU - Molchanov, Artem

AU - Averyanov, Gennadiy

N1 - Conference code: 13

PY - 2022

Y1 - 2022

N2 - We describe a cognitive architecture intended to solve a wide range of problems based on the five identified principles of brain activity, with their implementation in three subsystems: Logical-probabilistic inference, probabilistic formal concepts, and functional systems theory. Building an architecture involves the implementation of a task-driven approach that allows defining the target functions of applied applications as tasks formulated in terms of the operating environment corresponding to the task, expressed in the applied ontology. We provide a basic ontology for a number of practical applications as well as for the subject domain ontologies based upon it, describe the proposed architecture, and give possible examples of the execution of these applications in this architecture.

AB - We describe a cognitive architecture intended to solve a wide range of problems based on the five identified principles of brain activity, with their implementation in three subsystems: Logical-probabilistic inference, probabilistic formal concepts, and functional systems theory. Building an architecture involves the implementation of a task-driven approach that allows defining the target functions of applied applications as tasks formulated in terms of the operating environment corresponding to the task, expressed in the applied ontology. We provide a basic ontology for a number of practical applications as well as for the subject domain ontologies based upon it, describe the proposed architecture, and give possible examples of the execution of these applications in this architecture.

KW - brain principles programming

KW - cognitive architecture

KW - formal concept analysis

KW - functional system theory

KW - probabilistic logic

KW - subject domain ontology

KW - task-driven approach

UR - https://www.scopus.com/inward/record.url?eid=2-s2.0-85146111413&partnerID=40&md5=a0f344bab5a011beec2c7dfa0d15cd20

UR - https://www.mendeley.com/catalogue/c1be7433-3a52-3417-997d-7b9de70d0ae2/

U2 - 10.1016/j.procs.2022.11.054

DO - 10.1016/j.procs.2022.11.054

M3 - Paper

SP - 180

EP - 189

T2 - 13th Annual Meeting of the BICA Society: 2022 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence

Y2 - 22 September 2022 through 25 September 2022

ER -

ID: 45661729