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Avtomatika i Telemekhanika, 2022, Issue 6, Pages 24–37
DOI: https://doi.org/10.31857/S0005231022060034 (Mi at15974) 		 
This article is cited in 4 scientific papers (total in 4 papers)

ADAM: a model of artificial psyche

S. A. Shumskii

Moscow Institute of Physics and Technology, Dolgoprudnyi, Moscow oblast, 141701 Russia
Full-text PDF (3519 kB) First page Citations (4)
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DOI: https://doi.org/10.31857/S0005231022060034
Abstract: An ADAM artificial psyche model implementing a hierarchical deep reinforcement learning architecture is proposed. ADAM is able to learn increasingly complex and time-consuming behavioral skills as the number of artificial psyche control levels increases. Purposeful behavior is formed by a hierarchical learning system with a gradual increase in the number of levels, where each hierarchical level is responsible for its own time scale of behavior.
Keywords: general artificial intelligence, deep reinforcement learning, hierarchical control system.
Funding agency
This work was supported in part by the Competence Center of the National Technological Initiative in the field of “Artificial Intelligence” at the Moscow Institute of Physics and Technology.
Presented by the member of Editorial Board: O. P. Kuznetsov

Received: 31.10.2021
Revised: 21.01.2022
Accepted: 26.01.2022
English version:
Automation and Remote Control, 2022, Volume 83, Issue 6, Pages 847–856
DOI: https://doi.org/10.1134/S0005117922060030
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: S. A. Shumskii, “ADAM: a model of artificial psyche”, Avtomat. i Telemekh., 2022, no. 6, 24–37; Autom. Remote Control, 83:6 (2022), 847–856
Citation in format AMSBIB
\Bibitem{Shu22}
\by S.~A.~Shumskii
\paper ADAM: a model of artificial psyche
\jour Avtomat. i Telemekh.
\yr 2022
\issue 6
\pages 24--37
\mathnet{http://mi.mathnet.ru/at15974}
\crossref{https://doi.org/10.31857/S0005231022060034}
\edn{https://elibrary.ru/ACIMYZ}
\transl
\jour Autom. Remote Control
\yr 2022
\vol 83
\issue 6
\pages 847--856
\crossref{https://doi.org/10.1134/S0005117922060030}
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  • https://www.mathnet.ru/eng/at/y2022/i6/p24
    • This publication is cited in the following 4 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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    Abstract page:279
    References:60
    First page:60
     
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