The Heuristics of Detection of Empirical Regularities by JSM Reasoning

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 a...

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Bibliographic Details
Published in:Automatic documentation and mathematical linguistics 2018-09, Vol.52 (5), p.215-247
Main Authors: Finn, V. K., Shesternikova, O. P.
Format: Article
Language:English
Subjects:
Computer Science
Diabetes mellitus
Economic models
Hypotheses
Information Storage and Retrieval
Intelligent Systems
Reasoning
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Summary: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.
ISSN:0005-1055
1934-8371
DOI:10.3103/S0005105518050023