Philosophy & Technology

, Volume 26, Issue 1, pp 75-80

First online:

How Modeling Can Go Wrong

Some Cautions and Caveats on the Use of Models
  • Patrick GrimAffiliated withStony Brook University Email author 
  • , Nicholas RescherAffiliated withDepartment of Philosophy, Center for Philosophy of Science, University of Pittsburgh

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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