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How Modeling Can Go Wrong

Some Cautions and Caveats on the Use of Models

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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.

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Authors and Affiliations

  1. Stony Brook University, Stony Brook, NY, USA

    Patrick Grim

  2. Department of Philosophy, Center for Philosophy of Science, University of Pittsburgh, Pittsburgh, PA, USA

    Nicholas Rescher

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  1. Patrick Grim
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  2. Nicholas Rescher
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Correspondence to Patrick Grim.

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Grim, P., Rescher, N. How Modeling Can Go Wrong. Philos. Technol. 26, 75–80 (2013). https://doi.org/10.1007/s13347-012-0082-7

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  • DOI: https://doi.org/10.1007/s13347-012-0082-7

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