How Modeling Can Go Wrong: Some Cautions and Caveats on the Use of Models

Philosophy and Technology 26 (1):75-80 (2013)
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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

Author Profiles

Nicholas Rescher
University of Pittsburgh
Patrick Grim
University of Michigan, Ann Arbor

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