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Clasification of models and idealizations
In this episode we explore different classifications of models and dicuss problems such as the problem of accuracy (what does it mean for a model to be accurate and is it always something to strive for?), the problem of style (what are the different ways of representing?), and the problem of ontology (what types of things are models). We also discuss idealizations (omissions or distortions that make a model more explanatory or that allow it to be used mathematically) and the role it plays in scientific modelling.
Some references:
- Frigg, Roman and James Nguyen, 2016, “The Fiction View of Models Reloaded”, The Monist, 99(3): 225–42.
- Weisberg, Michael, 20072013, Simulation and Similarity: Using Models to Understand the World, Oxford: Oxford University Press.
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By OMGMOIn this episode we explore different classifications of models and dicuss problems such as the problem of accuracy (what does it mean for a model to be accurate and is it always something to strive for?), the problem of style (what are the different ways of representing?), and the problem of ontology (what types of things are models). We also discuss idealizations (omissions or distortions that make a model more explanatory or that allow it to be used mathematically) and the role it plays in scientific modelling.
Some references:
- Frigg, Roman and James Nguyen, 2016, “The Fiction View of Models Reloaded”, The Monist, 99(3): 225–42.
- Weisberg, Michael, 20072013, Simulation and Similarity: Using Models to Understand the World, Oxford: Oxford University Press.