On Super Strategies of Intelligent Systems of the JSM Type for Evidence-Based Medicine

摘要

This article discusses supplementary premises for making up rules of plausible inference (induction) of the JSM method for the automated generation of hypotheses. These are conditions characterizing the presence/absence of necessary and significant parameters in generated hypotheses. Negation of these supplementary premises generates new rules with the "suspicious" type of truth value. Modified rules of induction in the JSM method make up strategies for generating hypotheses for the interactive choice of necessary and significant parameters in intelligent systems for evidence-based medicine.