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- W4386816087 abstract "The paper is devoted to the description of cause-and-effect relationships between properties in empirical data and approximate causal data between objects available for analysis. Approximate causal relationships are built on the basis of coverages of objects from the given set of true causal relationships. If A is the cause of the consequence B, then the object O(A) in which the cause A is located is the coverage of the cause A; the object O(B) in which the consequence B is located is the cover of the consequence B. Objects O(A) and O(B) may contain other properties not related to A and B. Coverages of causes and consequences generate certain relationships of objects, which we call approximate causal relationships. Approximate causes and consequences are considered as sources of information confirming or rejecting the hypothesis of the reliability of the property obtained by the results of computer analysis in the object containing the output data or diagnosis. The construction of approximate cause-and-effect relationships from direct causes and consequences is quite obvious. However, it is necessary to use approximate causal relationships instead of direct relations of causes and consequences with caution due to the possibility of errors. The example of the appearance of such errors is described in the paper. The openness of the subject area does not allow correct axiomatization and obtaining conclusions about trust to the results in the form of a conclusion from axioms in some formal theory. An increase in the level of trust here can be ensured by the interpretability of the substantive concepts of the subject area under study. The explainability of the generated conclusions is most often realized using the causal relationships identified in the analyzed data." @default.
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- W4386816087 date "2023-01-01" @default.
- W4386816087 modified "2023-09-27" @default.
- W4386816087 title "On the Formation of Approximate Descriptions of Cause-and-Effect Relationships During the Analysis of Empirical Data" @default.
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- W4386816087 doi "https://doi.org/10.1007/978-3-031-43792-2_10" @default.
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