How Modeling Can Go Wrong
Philosophy and Technology 26 (1):75-80 (2013)
| Abstract | 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 | |||||||||
| Keywords | Modeling Simulation Failure Oversimplification | |||||||||
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