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Matching logic reachability is a unifying framework for operational and axiomatic semantics of programing languages.
For example, pattern-matching logic can calculate how close one image or set of measurements is to another.
Matching logic is a logic designed to state and reason about structural properties over arbitrary program configurations.
Pattern-matching logic compares empirically based patterns with predicted patterns, enabling further data analysis techniques (explanation building, time series analysis, logic models, and cross-case synthesis).
Using several sources of interviews and archival data, the author compared the data with the propositions using the pattern-matching logic, which concluded in developing entrepreneurship theory.
Pattern-matching is a means to compare the theoretically based predictions with the data in the site: "For case study analysis, one of the most preferred techniques is to use a pattern-matching logic.
Due to the use of a pattern-matching logic, the data analysis builds on a 3 × 3 Table to substructure the cases (see Table 1; adapted from Bruns 2013; Miles and Huberman 1994: 184).
While this is undoubtedly a product of the fact that, for any given job, it's easier to come up with 10 different technical skill requirements than 10 different ways of saying "problem solving" or "critical thinking," that is of no matter to the inexorable keyword matching logic of Applicant Tracking Systems, which filter out candidates without a sufficient level of keyword match.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com