I understand that this relationship is bidirectional:
A key challenge in this relationship is accuracy and abstraction - a model is always a simplification of reality, capturing essential features while neglecting others. The validity of a model depends on how well it approximates the phenomenon, aligns with empirical data, and provides meaningful predictions or explanations.
In your view, what makes a mathematical model truly effective in capturing a phenomenon?
Robert Rockenfeller
Not sure if that's what you're looking for, but two literature hints come to mind. First, ''the character of physical law'' by Richard Feynman (1965). Second, ''Five ways to ensure that models serve society: a manifesto'' by Andrea Saltelli et al. (2020).
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