Building Simulations from the Ground Up: Modeling and Theory in Systems Biology

Philosophy of Science 80 (4):533-556 (2013)
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Abstract

In this article, we provide a case study examining how integrative systems biologists build simulation models in the absence of a theoretical base. Lacking theoretical starting points, integrative systems biology researchers rely cognitively on the model-building process to disentangle and understand complex biochemical systems. They build simulations from the ground up in a nest-like fashion, by pulling together information and techniques from a variety of possible sources and experimenting with different structures in order to discover a stable, robust result. Finally, we analyze the alternative role and meaning theory has in systems biology expressed as canonical template theories like Biochemical Systems Theory.

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Author Profiles

Miles MacLeod
University of Twente
Nancy Nersessian
Georgia Institute of Technology

Citations of this work

Experimental Philosophy of Science.Edouard Machery - 2016 - In Justin Sytsma & Wesley Buckwalter (eds.), A Companion to Experimental Philosophy. Malden, MA: Wiley. pp. 473–490.
What distinguishes data from models?Sabina Leonelli - 2019 - European Journal for Philosophy of Science 9 (2):22.
What distinguishes data from models?Sabina Leonelli - 2019 - European Journal for Philosophy of Science 9 (2):22.

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References found in this work

How the laws of physics lie.Nancy Cartwright - 1983 - New York: Oxford University Press.
Considered Judgment.Catherine Z. Elgin - 1999 - Princeton University Press.
Sanctioning Models: The Epistemology of Simulation.Eric Winsberg - 1999 - Science in Context 12 (2):275-292.
Simulated experiments: Methodology for a virtual world.Winsberg Eric - 2003 - Philosophy of Science 70 (1):105-125.

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