Engineering Model Independence: A Strategy to Encourage Independence Among Models.

According to population biologist Richard Levins, every discipline has a "strategy of model building,"which involves implicit assumptions about epistemic goals and the types of abstractions and modeling approaches used. We will offer suggestions about how to model complex systems based upon a strate...

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Published in:Techné: Research in Philosophy & Technology Vol. 22; no. 2; pp. 191 - 230
Main Authors: Pirtle, Zachary, Odenbaugh, Jay, Hamilton, Andrew, Szajnfarber, Zoe
Format: Article
Published: Philosophy Documentation Center 2018
Subjects:
Online Access:View this record in EBSCOhost
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          Pirtle, Zachary
          Odenbaugh, Jay
          Hamilton, Andrew
          Szajnfarber, Zoe
        affil:
          Department of Engineering Management and Systems Engineering, George Washington University 20052
          Philosophy, Lewis and Clark; 0615 S.W. Palatine Hill Road, MSC 45, Portland OR 97219
          College of Natural Sciences and Mathematics, University of Houston; 3507 Cullen Blvd, Room 214, Houston, Texas 77204-5008
      su:
        Engineering models
        Levins, Richard, 1930-2016
        Pluralism
      sug:
        subj:
          Engineering models
          Levins, Richard, 1930-2016
          Pluralism
      keyword:
        epistemic strategy
        independence analysis
        levees
        Levins
        robustness
      ab: According to population biologist Richard Levins, every discipline has a "strategy of model building,"which involves implicit assumptions about epistemic goals and the types of abstractions and modeling approaches used. We will offer suggestions about how to model complex systems based upon a strategy focusing on independence in modeling. While there are many possible and desirable modeling strategies, we will contrast a model-independence-focused strategy with the more common modeling strategy of adding increasing levels of detail to a model. Levins calls the latter approach a 'brute force' strategy of modeling, which can encounter problems as it attempts to add increasing details and predictive precision. In contrast, a model-independence-focused strategy, which we call a 'pluralistic strategy,'draws off of Levins's use of an assemblage of multiple, simple and-critically-independent models of ecological systems in order to do predictive and explanatory analysis. We use the example of model analysis of levee failure during Hurricane Katrina to show what a pluralistic strategy looks like in engineering. Depending on one's strategy, one can deliberately engineer the set of available models in order to have more independent and complementary models that will be more likely to be accurate. We offer advice on ways of making models independent as well as a set of epistemic goals for model development that different models can emphasize.
      pubtype: Academic Journal
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    language: English
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