Template:M tldr design Nomological machine: Difference between revisions

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Created page with "A nomological machine is a stable arrangement of components that consistently demonstrates the regularities represented by scientific laws — it like a model — in the real world, objects never quite behave as science predicts because the conditions aren’t quite right — we put this down to our lack of tools or accuracy of information — contrast these with analogical machines, where we try to force the real world to behave like a scientific or mathematical th..."
 
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A [[nomological machine]] is a stable arrangement of components that consistently demonstrates the regularities represented by scientific laws — it like a model — in the real world, objects never quite behave as science predicts because the conditions aren’t quite right — we put this down to our lack of tools or accuracy of information — contrast these with analogical machines, where we try to force the real world to behave like a scientific or mathematical theory — such as rolling dice or flipping coins to generate random results
A [[nomological machine]] is a theoretical model designed to consistently generate the regularities represented by scientific laws — it’s like the theoretical map of an infinitely detailed territory — in the real world, objects never quite behave as the machine predicts because the conditions aren’t quite right — we put this down to our lack of tools or accuracy of information — contrast these with “analogical machines”, where we try to force the real world to generate the results predicted by a scientific or mathematical theory — such as rolling dice or flipping coins to generate random outcomes — which is like configuring the territory to be identical to the map “map” and “territory” are an immutable dualism

Latest revision as of 17:53, 26 February 2024

A nomological machine is a theoretical model designed to consistently generate the regularities represented by scientific laws — it’s like the theoretical map of an infinitely detailed territory — in the real world, objects never quite behave as the machine predicts because the conditions aren’t quite right — we put this down to our lack of tools or accuracy of information — contrast these with “analogical machines”, where we try to force the real world to generate the results predicted by a scientific or mathematical theory — such as rolling dice or flipping coins to generate random outcomes — which is like configuring the territory to be identical to the map — “map” and “territory” are an immutable dualism