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Artificial Intelligence and Decision Making, 2016, Issue 4, Pages 38–46 (Mi iipr302)  

Knowledge extraction

Causal inference in psychological data in the case of aggression

N. V. Chudova, A. I. Panov

Institute for Systems Analysis of Russian Academy of Sciences
Abstract: We carried out empirical study of aggression with different personal features. In article we present results obtained for different forms of aggression including results of machine learning experiments with AQJSM method. The method distinguishes several classes with different levels of aggression defined with the special form and makes causal inferences with AQ preprocessing and first stage of JSM method of extraction of causal-effect relations. Proposed method gives acceptable results for both small datasets and big data with incomplete information.
Keywords: psychodiagnostics study, aggression, machine learning, causal inference, JSM method, AQ rules.
English version:
Scientific and Technical Information Processing, 2016, Volume 44, Issue 6, Pages 424–429
DOI: https://doi.org/10.3103/S014768821706003X
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: N. V. Chudova, A. I. Panov, “Causal inference in psychological data in the case of aggression”, Artificial Intelligence and Decision Making, 2016, no. 4, 38–46; Scientific and Technical Information Processing, 44:6 (2016), 424–429
Citation in format AMSBIB
\Bibitem{ChuPan16}
\by N.~V.~Chudova, A.~I.~Panov
\paper Causal inference in psychological data in the case of aggression
\jour Artificial Intelligence and Decision Making
\yr 2016
\issue 4
\pages 38--46
\mathnet{http://mi.mathnet.ru/iipr302}
\elib{https://elibrary.ru/item.asp?id=27723585}
\transl
\jour Scientific and Technical Information Processing
\yr 2016
\vol 44
\issue 6
\pages 424--429
\crossref{https://doi.org/10.3103/S014768821706003X}
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