The Heuristics of Detection of Empirical Regularities by JSM Reasoning
- 作者: Finn V.K.1, Shesternikova O.P.1
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隶属关系:
- Federal Research Center Computer Science and Control
- 期: 卷 52, 编号 5 (2018)
- 页面: 215-247
- 栏目: Intelligent Systems
- URL: https://journal-vniispk.ru/0005-1055/article/view/150252
- DOI: https://doi.org/10.3103/S0005105518050023
- ID: 150252
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详细
The heuristics of the detection of empirical regularities by the JSM method of automated support of scientific research is considered. This heuristic consists of applying the JSM reasoning for JSM research, which consist of recognizing the preservation of hypotheses about the causes and hypotheses about predictions that form empirical dependencies for embedded database sequences. Mechanisms for detecting empirical regularities are causal forcing (CF), through which the necessity modalities (for empirical laws), the possibility modality (for empirical tendencies) and the modality of weak possibilities (for suspicious tendencies) are determined. The means of approximate detection of empirical regularities are determined and the results of their application for detecting the possibility of diabetes mellitus in patients with chronic pancreatitis are presented.
作者简介
V. Finn
Federal Research Center Computer Science and Control
编辑信件的主要联系方式.
Email: ira.finn@gmail.com
俄罗斯联邦, Moscow, 119333
O. Shesternikova
Federal Research Center Computer Science and Control
Email: ira.finn@gmail.com
俄罗斯联邦, Moscow, 119333
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