Artificial Intelligence and Decision Making
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Artificial Intelligence and Decision Making, 2012, Issue 4, Pages 32–42 (Mi iipr444)  
This article is cited in 7 scientific papers (total in 7 papers)

Cognitive studies

Cognitive semantics and artificial intelligence

O. P. Kuznetsov

V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Moscow
Full-text PDF (350 kB) Citations (7)
Abstract: The essential conceptions of cognitive semantics [Lakoff, 1987] are considered. These conceptions based on the thesis that cognitive structures and mechanisms of a man depend on his sensor mechanisms, physical and social experience. The possibilities of applications of these conceptions for artificial intelligence problems are discussed.
Keywords: cognitive semantics, categorization, conceptual structures, understanding, cognitive complexity.
English version:
Scientific and Technical Information Processing, 2013, Volume 40, Issue 5, Pages 269–276
DOI: https://doi.org/10.3103/S0147688213050067
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: O. P. Kuznetsov, “Cognitive semantics and artificial intelligence”, Artificial Intelligence and Decision Making, 2012, no. 4, 32–42; Scientific and Technical Information Processing, 40:5 (2013), 269–276
Citation in format AMSBIB
\Bibitem{Kuz12}
\by O.~P.~Kuznetsov
\paper Cognitive semantics and artificial intelligence
\jour Artificial Intelligence and Decision Making
\yr 2012
\issue 4
\pages 32--42
\mathnet{http://mi.mathnet.ru/iipr444}
\elib{https://elibrary.ru/item.asp?id=18962070}
\transl
\jour Scientific and Technical Information Processing
\yr 2013
\vol 40
\issue 5
\pages 269--276
\crossref{https://doi.org/10.3103/S0147688213050067}
Linking options:
  • https://www.mathnet.ru/eng/iipr444
  • https://www.mathnet.ru/eng/iipr/y2012/i4/p32
    • This publication is cited in the following 7 articles:
    1. V. I. Gorodetsky, “Data science: methodology, main directions, problems and perspectives”, 50, no. 6, 2023, 543–556  mathnet  mathnet  crossref  crossref
    2. Darren J. Edwards, Ciara McEnteggart, Yvonne Barnes-Holmes, “A Functional Contextual Account of Background Knowledge in Categorization: Implications for Artificial General Intelligence and Cognitive Accounts of General Knowledge”, Front. Psychol., 13 (2022)  crossref
    3. Yoji Kawamura, Advances in Human and Social Aspects of Technology, Bridging the Gap Between AI, Cognitive Science, and Narratology With Narrative Generation, 2021, 283  crossref
    4. Ilya A. Surov, E. Semenenko, A. V. Platonov, I. A. Bessmertny, F. Galofaro, Z. Toffano, A. Yu. Khrennikov, A. P. Alodjants, “Quantum semantics of text perception”, Sci Rep, 11:1 (2021)  crossref
    5. Stanislav Belyakov, Alexander Bozhenyuk, Janusz Kacprzyk, Margarita Knyazeva, Lecture Notes in Computer Science, 11508, Artificial Intelligence and Soft Computing, 2019, 261  crossref
    6. Ilya A. Surov, Julia E. Zaytseva, Alexander P. Alodjants, Sergey V. Khmelevsky, Communications in Computer and Information Science, 1038, Digital Transformation and Global Society, 2019, 765  crossref
    7. Boris A. Kulik, Alexander Ya. Fridman, Studies in Systems, Decision and Control, 95, Smart Electromechanical Systems: The Central Nervous System, 2017, 17  crossref
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Artificial Intelligence and Decision Making
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