Causal Inference in Psychological Data in the Case of Aggression
- 作者: Chudova N.V.1, Panov A.I.1
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隶属关系:
- Institute for Systems Analysis, Federal Research Center “Computer Science and Control,”
- 期: 卷 44, 编号 6 (2017)
- 页面: 424-429
- 栏目: Article
- URL: https://journal-vniispk.ru/0147-6882/article/view/175306
- DOI: https://doi.org/10.3103/S014768821706003X
- ID: 175306
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详细
We carried out an empirical study of aggression in relation to different personal traits. In this article we present results obtained for different forms of aggression, including results of machine-learning experiments with the AQJSM method. The method distinguishes several classes with different levels of aggression defined with a special form, as well as making causal inferences with AQ preprocessing and the first stage of JSM method of extraction of cause and effect relationships. The proposed method produces acceptable results for both small datasets and big data with incomplete information.
作者简介
N. Chudova
Institute for Systems Analysis, Federal Research Center “Computer Science and Control,”
编辑信件的主要联系方式.
Email: nchudova@gmail.com
俄罗斯联邦, Moscow, 119333
A. Panov
Institute for Systems Analysis, Federal Research Center “Computer Science and Control,”
Email: nchudova@gmail.com
俄罗斯联邦, Moscow, 119333
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