Reconstructability analysis can be used to produce correct overall states that are not contained in the data (Adapted from G. KLIR, 1990, p.60).
KLIR comments: "It is important to realize that the reconstruction principle is methodologically different from the usual conception of inductive reasoning. The latter is almost exclusively conceived in terms of the so called "straight rule ", which is well expressed by the following precept offered by RESCHER (1980, p.100):
"When a certain percentage of population P have in fact be observed to have a particular trait T, then adapt this very value as your answer to the question "What proportion of the entire population P have the trait T?
"The reconstruction principle violates the straight rule since it modifies, in general, the frequencies of states obtained from given data and may produce additional states that are not contained in the data at all ".
"How to explain the reconstruction principle? First, let us recall that the principle is based on the identification of subsets of variables of the overall system that are strongly related. These subsets of variables are expressed by the superior reconstruction method" (KLIR, 1990, p.75).
RESCHER's concept of induction must be based essentially in statistical or experimental inquiry used as reductor of variety.
On the contrary, R.A. introduces "superior hypotheses" and is open to wide exploration of the preselected data related to specific parts or subsystems.
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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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