Refering himself to Markovian chains and matrixes, J. Mc CRONE writes: "Exactly the same statistical methods could be used to drive a higher level of analysis" (1993, p.30).
In speech identification or language analysis for example: "Markov modelling (can) be used to calculate the probabilities not only of one frame (of sounds or letters) following another, but also of one word following another and so produce a language model that could work out whether a person had meant "two", "too" or "to" simply from the context of what had been said" (Ibid).
In other words, Markov chains or matrixes reflect the constraints within the system and could thus become an interesting tool for reconstructability analysis.
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Bertalanffy Center for the Study of Systems Science (2020). Title of the entry. In Charles François (Ed.), International Encyclopedia of Systems and Cybernetics (2). Retrieved from www.systemspedia.org/[full/url]
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