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Preprints of the Keldysh Institute of Applied Mathematics, 2017, 112, 24 pp.
DOI: https://doi.org/10.20948/prepr-2017-112
(Mi ipmp2328)
 

This article is cited in 3 scientific papers (total in 3 papers)

Robot and Artificial Intelligence. Technocratic approach

O. I. Davydov, A. K. Platonov
Full-text PDF (767 kB) Citations (3)
References:
Abstract: The present work proposes a system of Artificial Intelligence, which can be implemented and used to control the behavior of robots. Artificial Intelligence is regarded as a structure consisting of five components. Knowledge is considered as a basis component, upon which the other four components are based: Comprehension, Perception, Communication and Learning. The paper also defines the Memory characteristics that are important from the point of view of robotics. Methods of implementing this approach for a control system for a mobile robot RB-2 are described.
Keywords: artificial intelligence, robot, control system, database, knowledge, comprehension, perception, communication, learning.
Funding agency Grant number
Russian Foundation for Basic Research 15-08-06431_а
Russian Science Foundation 16-19-10705
Document Type: Preprint
Language: Russian
Citation: O. I. Davydov, A. K. Platonov, “Robot and Artificial Intelligence. Technocratic approach”, Keldysh Institute preprints, 2017, 112, 24 pp.
Citation in format AMSBIB
\Bibitem{DavPla17}
\by O.~I.~Davydov, A.~K.~Platonov
\paper Robot and Artificial Intelligence. Technocratic approach
\jour Keldysh Institute preprints
\yr 2017
\papernumber 112
\totalpages 24
\mathnet{http://mi.mathnet.ru/ipmp2328}
\crossref{https://doi.org/10.20948/prepr-2017-112}
Linking options:
  • https://www.mathnet.ru/eng/ipmp2328
  • https://www.mathnet.ru/eng/ipmp/y2017/p112
  • This publication is cited in the following 3 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Препринты Института прикладной математики им. М. В. Келдыша РАН
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    Abstract page:213
    Full-text PDF :472
    References:25
     
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