Philosophy & Technology

, Volume 26, Issue 1, pp 75–80 | Cite as

How Modeling Can Go Wrong

Some Cautions and Caveats on the Use of Models


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.


Modeling Simulation Failure Oversimplification 

Copyright information

© Springer-Verlag 2012

Authors and Affiliations

  1. 1.Stony Brook UniversityStony BrookUSA
  2. 2.Department of PhilosophyCenter for Philosophy of Science, University of PittsburghPittsburghUSA

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