Abstract
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.
Similar content being viewed by others
References
Finn, V.K., Epistemic foundations of the JSM method for automatic hypothesis generation, Autom. Doc. Math. Linguist., 2014, vol. 48, no. 2, pp. 96–148.
Fann, K.T., Peirce’s Theory of Abduction, The Hague: Martinus Nijhoff, 1970.
Polya, G., Mathematics and Plausible Reasoning, Princeton, New Jersey: Princeton University Press, 1954.
Mill, J.S., A System of Logic Ratiocinative and Inductive, Being a Connected View of the Principles of Evidence and the Methods of Scientific Investigation, London: Parker, Son and Bowin, 1843.
Agafonov, M.A., Shesternikova, O.P., Vinokurova, L.V., Pankratova, E.S., and Finn, V.K., About the principles and logical means implemented in the intelligent system for gastroenterology, Nauchno-Tekh. Inf., Ser. 2, 2017, no. 3, pp. 16–39.
Finn, V.K., J.S. Mill’s inductive methods in artificial intelligence systems. Part I, Sci. Tech. Inf. Process., 2011, vol. 38, no. 6, pp. 385–402
Finn, V.K., Mill’s, J.S. inductive methods in artificial intelligence systems. Part II, Sci. Tech. Inf. Process., 2011, vol. 39, no. 5, pp. 241–260.
Rosser, J.B. and Turquette, A.R., Many-Valued Logics, Amsterdam: North-Holland Publishing Company, 1958.
Finn, V.K., Iskusstvennyi intellekt (Artificial Intelligence), ch. 3: Standartnye i nestandartnye logiki argumentatsii (Standard and Non-Standard Reasoning Logics), Moscow: KRASAND, 2011, pp. 312–338.
Finn, V.K., Detecting empirical regularities in bases of facts using JSM reasoning, Autom. Doc. Math. Linguist., 2015, vol. 49, no. 4, pp. 122–151.
Finn, V.K., On the class of JSM reasoning that uses the isomorphism of inductive inference rules, Sci. Tech. Inf. Process., 2017, vol. 44, no. 6, pp. 387–396.
Finn, V.K., Distributive lattices of inductive JSM procedures, Autom. Doc. Math. Linguist., 2014, vol. 48, no. 6, pp. 265–295.
Grätzer, G., General Lattice Theory, Berlin: Academic—Verlag, 1978.
Finn, V.K. and Shesternikova, O.P., On JSM reasoning applicable to unions of factbase subsets: Part 1, Autom. Doc. Math. Linguist., 2017, vol. 51, no. 5, pp. 220–234.
Arieli, O. and Avron, A., Reasoning with logical bilattices, J. Logic Lang. Inf., 1996, no. 5, pp. 25–63.
Popper, K.R., Objective Knowledge: An Evolutionary Approach, Oxford: At The Clarendon Press, 1979.
Finn, V.K. and Shesternikova, O.P., On JSM reasoning applicable to unions of factbase subsets: Part 2, Autom. Doc. Math. Linguist., 2017, vol. 51, no. 6, pp. 266–288.
Handbook of Mathematical Logic, Barwise, J., Ed., Amsterdam, New York, Oxford: North Holland Publishing Company, 1977.
Skvortsov, D.P., On some ways of constructing logical languages with quantifiers in tuples, Semiotika Inf., 1983, vol. 20, pp. 102–126.
Anshakov, O.M., Skvortsov, D.P., and Finn, V.K., On the logical construction of the JSM-method for automatic hypothesis generation, Dokl. Akad. Nauk SSSR, 1991, vol. 320, no. 6, pp. 1331–1336.
Anshakov, O.M., Finn, V.K., and Skvortsov, D.P., On axiomatization of many-valued logics associated with formalization of plausible reasoning, Stud. Logica, 1989, vol. 48, no. 4, pp. 423–447.
Shesternikova, O.P., Agafonov, M.A., Vinokurova, L.V., Pankratova, E.S., and Finn, V.K., Intelligent system for diabetes prediction in patients with chronic pancreatitis, Sci. Tech. Inf. Process., 2016, vol. 43, nos. 5–6, pp. 315–345.
Smullyan, R.M., First-Order Logic, New York: Springer-Verlag, 1968.
Polya, G., How to Solve It, Princeton University Press, 1945.
Bernays, P., Concerning rationality, in The Philosophy of Karl Popper, Schilpp, P.A., Ed., La Salle, IL: Open Count Publishing Co., 1974, pp. 597–605.
Kripke, S.A., Semantical analysis of modal logic. I. Normal modal propositional calculi, Math. Logic Q., 1963, vol. 9, nos. 5–6, pp. 67–96.
Chellas, B.F., Modal Logic, Cambridge: University Press, 1980.
Finn, V.K., On the definition of empirical regularities by the JSM method for the automatic generation of hypotheses, Sci. Tech. Inf. Process., 2012, no. 5, pp. 261–267.
Reichenbach, H., Nomological Statements and Admissible Operations, Amsterdam: North Holland Publishing Company, 1954.
Feys, R., Modal Logics, E. Nauwelaerts, 1965.
Pfanzagl, J., Theory of Measurement, Wurzburg–Wien: Physica-Verlag, 1971.
Rescher, N., The Coherence Theory of Truth, Oxford: At The Clarendon Press, 1973.
Peirce, C.S., Collected Papers of Charles Sanders Pierce, Cambridge–Harvard: University Press, 1934, vol. 5, p.189.
Aliseda, A., Abductive reasoning, Synth. Libr., 2006, vol.330.
Abductive Inference: Computation, Philosophy, Technology, Josephson, J.R. and Josephson, S.G., Eds., Cambridge: University Press, 1994.
Author information
Authors and Affiliations
Corresponding author
Additional information
Original Russian Text © V.K. Finn, O.P. Shesternikova, 2018, published in Nauchno-Tekhnicheskaya Informatsiya, Seriya 2: Informatsionnye Protsessy i Sistemy, 2018, No. 9, pp. 7–42.
About this article
Cite this article
Finn, V.K., Shesternikova, O.P. The Heuristics of Detection of Empirical Regularities by JSM Reasoning. Autom. Doc. Math. Linguist. 52, 215–247 (2018). https://doi.org/10.3103/S0005105518050023
Received:
Published:
Issue Date:
DOI: https://doi.org/10.3103/S0005105518050023