Standard

Task-driven approach to artificial intelligence. / Vityaev, E. E.; Goncharov, S. S.; Sviridenko, D. I.

в: Cognitive Systems Research, Том 81, 09.2023, стр. 50-56.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

Harvard

Vityaev, EE, Goncharov, SS & Sviridenko, DI 2023, 'Task-driven approach to artificial intelligence', Cognitive Systems Research, Том. 81, стр. 50-56. https://doi.org/10.1016/j.cogsys.2023.05.001

APA

Vityaev, E. E., Goncharov, S. S., & Sviridenko, D. I. (2023). Task-driven approach to artificial intelligence. Cognitive Systems Research, 81, 50-56. https://doi.org/10.1016/j.cogsys.2023.05.001

Vancouver

Vityaev EE, Goncharov SS, Sviridenko DI. Task-driven approach to artificial intelligence. Cognitive Systems Research. 2023 сент.;81:50-56. doi: 10.1016/j.cogsys.2023.05.001

Author

Vityaev, E. E. ; Goncharov, S. S. ; Sviridenko, D. I. / Task-driven approach to artificial intelligence. в: Cognitive Systems Research. 2023 ; Том 81. стр. 50-56.

BibTeX

@article{eecb9d91ebe24e4dbb68793f29c7a62d,
title = "Task-driven approach to artificial intelligence",
abstract = "The paper considers the task-driven approach to artificial intelligence. It is shown that, on the one hand, it generalizes such approaches as the agent-based approach and general artificial intelligence, and, on the other hand, accurately reflects the cognitive processes and purposeful behavior described in the physiological Theory of functional brain systems.",
keywords = "Artificial intelligence, Cognitive architecture, Semantic modeling, Task",
author = "Vityaev, {E. E.} and Goncharov, {S. S.} and Sviridenko, {D. I.}",
note = "This work was supported by the state contract of the Sobolev Institute of mathematics (project no FWNF-2022-0011).",
year = "2023",
month = sep,
doi = "10.1016/j.cogsys.2023.05.001",
language = "English",
volume = "81",
pages = "50--56",
journal = "Cognitive Systems Research",
issn = "1389-0417",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Task-driven approach to artificial intelligence

AU - Vityaev, E. E.

AU - Goncharov, S. S.

AU - Sviridenko, D. I.

N1 - This work was supported by the state contract of the Sobolev Institute of mathematics (project no FWNF-2022-0011).

PY - 2023/9

Y1 - 2023/9

N2 - The paper considers the task-driven approach to artificial intelligence. It is shown that, on the one hand, it generalizes such approaches as the agent-based approach and general artificial intelligence, and, on the other hand, accurately reflects the cognitive processes and purposeful behavior described in the physiological Theory of functional brain systems.

AB - The paper considers the task-driven approach to artificial intelligence. It is shown that, on the one hand, it generalizes such approaches as the agent-based approach and general artificial intelligence, and, on the other hand, accurately reflects the cognitive processes and purposeful behavior described in the physiological Theory of functional brain systems.

KW - Artificial intelligence

KW - Cognitive architecture

KW - Semantic modeling

KW - Task

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85159627825&origin=inward&txGid=16e0211aaa4953b64b5631f0ea3d3f60

UR - https://www.mendeley.com/catalogue/5d1564d3-16b7-32dc-8f5e-d89ea3575b3d/

U2 - 10.1016/j.cogsys.2023.05.001

DO - 10.1016/j.cogsys.2023.05.001

M3 - Article

VL - 81

SP - 50

EP - 56

JO - Cognitive Systems Research

JF - Cognitive Systems Research

SN - 1389-0417

ER -

ID: 59264640