Modeling and simulation clearly have an upside. My discussion here will deal with the inevitable downside of modeling — the sort of things that can go wrong. It will set out a taxonomy for the pathology of models — a catalogue of the various ways in which model contrivance can go awry. In the course of that discussion, I also call on some of my past experience with models and their vulnerabilities.
Grim, P. , Rescher, N. (2013). Review of How modeling can go wrong. Philosophy & Technology 26 (1), pp. 75-80.
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