Task-driven approach to artificial intelligence Full article
| Journal |
Cognitive Systems Research
ISSN: 1389-0417 |
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| Output data | Year: 2023, Volume: 81, Pages: 50-56 Pages count : 7 DOI: 10.1016/j.cogsys.2023.05.001 | ||||||
| Tags | Task, Semantic modeling, Artificial intelligence, Cognitive architecture | ||||||
| Authors |
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| Affiliations |
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Funding (1)
| 1 | Sobolev Institute of Mathematics | FWNF-2022-0011 |
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.
Cite:
Vityaev E.E.
, Goncharov S.S.
, Sviridenko D.I.
Task-driven approach to artificial intelligence
Cognitive Systems Research. 2023. V.81. P.50-56. DOI: 10.1016/j.cogsys.2023.05.001 WOS Scopus РИНЦ OpenAlex
Task-driven approach to artificial intelligence
Cognitive Systems Research. 2023. V.81. P.50-56. DOI: 10.1016/j.cogsys.2023.05.001 WOS Scopus РИНЦ OpenAlex
Dates:
| Submitted: | Aug 7, 2022 |
| Accepted: | May 2, 2023 |
| Published online: | May 7, 2023 |
| Published print: | May 15, 2023 |
Identifiers:
| Web of science: | WOS:001149575200001 |
| Scopus: | 2-s2.0-85159627825 |
| Elibrary: | 62708304 |
| OpenAlex: | W4375845664 |