A model whose use allows the rediscovery of past states of the system, with a reasonable degree of reliability.
A good retrodictive model, just as a predictive one, depends on the existence of a reliable knowledge of the dynamics of the system and its environmental conditions, normally to be obtained by inference from sufficient data during a sufficient lapse of time. (But, how does one makes sure of what is "sufficient"?).
All in all, retrodiction supposes a well defined basic deterministic hypothesis. If the system is ergodic, or still worse, chaotic, precise retrodiction is impossible.
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To cite this page, please use the following information:
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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