Loop analysis and qualitative modeling: Limitations and merits [Book Review]

Biology and Philosophy 21 (5):647-666 (2006)
Richard Levins has advocated the scientific merits of qualitative modeling throughout his career. He believed an excessive and uncritical focus on emulating the models used by physicists and maximizing quantitative precision was hindering biological theorizing in particular. Greater emphasis on qualitative properties of modeled systems would help counteract this tendency, and Levins subsequently developed one method of qualitative modeling, loop analysis, to study a wide variety of biological phenomena. Qualitative modeling has been criticized for being conceptually and methodologically problematic. As a clear example of a qualitative modeling method, loop analysis shows this criticism is indefensible. The method has, however, some serious limitations. This paper describes loop analysis, its limitations, and attempts to clarify the differences between quantitative and qualitative modeling, in content and objective. Loop analysis is but one of numerous types of qualitative analysis, so its limitations do not detract from the currently underappreciated and underdeveloped role qualitative modeling could have within science.
Keywords Complexity  Idealization  Loop analysis  Perturbation  Qualitative analysis  Qualitative modeling  Precision  Sign digraph  Stability
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DOI 10.1007/s10539-006-9050-x
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References found in this work BETA
James Justus (2008). Ecological and Lyapunov Stability. Philosophy of Science 75 (4):421-436.

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John Matthewson (2011). Trade-Offs in Model-Building: A More Target-Oriented Approach. Studies in History and Philosophy of Science 42 (2):324-333.

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