On the Formation of Approximate Descriptions of Cause-and-Effect Relationships During the Analysis of Empirical Data

Author:

Grusho A.ORCID,Grusho N.ORCID,Zabezhailo M.ORCID,Timonina E.ORCID

Publisher

Springer Nature Switzerland

Reference11 articles.

1. Finn, V.K.: J.S. Mill’s inductive methods in artificial intelligence systems. Part I. Sci. Tech. Inf. Proc. 38(6), 385–402 (2011)

2. Finn, V.K.: J.S. Mill’s inductive methods in artificial intelligence systems. Part II. Sci. Tech. Inf. Proc. 39(5), 241–260 (2012)

3. Pearl, J.: Causal inference. In: Guyon, I., Janzing, D., Schölkopf, B. (eds.) Workshop on Causality Proceedings: Objectives and Assessment at NIPS, Proceedings of machine learning research ser. Whistler, Canada, vol. 6, pp. 39–58 (2010)

4. Grusho, A.A., Zabezhailo, M.I., Timonina, E.E.: On causal representativeness of training samples of precedents in diagnostic type tasks. Inform. Appl. 14(1), 80–86 (2020)

5. Grusho, A.A., Grusho, N.A., Zabezhailo, M.I., Kulchenkov, V.V., Timonina, E.E., Shorgin, S.Y.: Causal relationships in classification problems. Inform. Appl. 17(1), 43–47 (2023)

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