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Modelli trasandati. Perché in scienza, oltre un certo limite, la precisione è deleteria

digital Modelli trasandati. Perché in scienza, oltre
un certo limite, la precisione è deleteria
Article
journal RIVISTA DI FILOSOFIA NEO-SCOLASTICA
issue RIVISTA DI FILOSOFIA NEO-SCOLASTICA - 2018 - 4
title Modelli trasandati. Perché in scienza, oltre un certo limite, la precisione è deleteria
Sloppy Models: Why in Science Too Much Precision is a Curse
author
publisher Vita e Pensiero
format Article | Pdf
online since 02-2019
doi 10.26350/001050_000079
issn 00356247 (print) | 18277926 (digital)
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It is for sure that any scientific model is very partial, depending upon the choice of a peculiar view point. This implies that the comparison of different models of the same natural phenomenon, allowing for a multiplicity of vantage pints, it is (at least in principle) the most fruitful way to knowledge. Notwithstanding that, to look for a ‘complete description’ obtained by the summation of the different models, is an almost sure guarantee of failure. The neat superiority of predictive models that consciously decide not to take into consideration the major part of the information with respect to computational intensive ‘all-inclusive’ strategies is evident. These ‘all-inclusive’ approaches are promoted by ‘Big Data’ supporters claiming for the need of approaches devoid of any ‘cognitive bias’. Here I will show how the conscious limitation to a specific viewpoint is not only a wise knowledge strategy but mirrors some facts of nature suggesting a self-generated simplification of the natural world that most generative scientific theories are able to catch.

keywords

Data Analysis, Incompleteness, Prediction, Errors, Uncertainty

Author biography

alessandro.giuliani@iss.it

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