Models in Science
Updated 2026-09-10
INTRODUCTION
English translation pending.
CORE DEFINITION
Models occupy a central place in many sciences: the cosmological inflation model, general circulation models of climate, the DNA double helix, evolutionary models in biology, agent-based models in the social sciences, and general equilibrium models of markets. A model stands in a representational relation to a target system, isolating a few relevant factors while deliberately distorting or ignoring the rest.
SCAFFOLDING EFFECT
Reduce cognitive load
- Controlled simplification: keep only a few relevant factors so a complex system becomes derivable. - Transfer by analogy: translate conclusions inside the model back to the target system. - Run substitutes: probe different settings on the model in place of infeasible real experiments.
Anchor fast decisions
A model yields knowledge because it stands in a relation of similarity or isomorphism to the target, so what is derived inside it can be translated back. At the same time the model is deliberately simplified: it keeps a few relevant factors and drops the rest, and this controlled falseness is exactly what makes a complex system computable and understandable.
MINIMUM ACTION
In progress 0/1Practice this model in one real situation:
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Source support: Explicit
- plato.stanford.eduhttps://plato.stanford.edu/entries/models-science/verified
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