Varieties of noise: Analogical reasoning in synthetic biology

Studies in History and Philosophy of Science Part A 48:76-88 (2014)
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Abstract

The picture of synthetic biology as a kind of engineering science has largely created the public understanding of this novel field, covering both its promises and risks. In this paper, we will argue that the actual situation is more nuanced and complex. Synthetic biology is a highly interdisciplinary field of research located at the interface of physics, chemistry, biology, and computational science. All of these fields provide concepts, metaphors, mathematical tools, and models, which are typically utilized by synthetic biologists by drawing analogies between the different fields of inquiry. We will study analogical reasoning in synthetic biology through the emergence of the functional meaning of noise, which marks an important shift in how engineering concepts are employed in this field. The notion of noise serves also to highlight the differences between the two branches of synthetic biology: the basic science-oriented branch and the engineering-oriented branch, which differ from each other in the way they draw analogies to various other fields of study. Moreover, we show that fixing the mapping between a source domain and the target domain seems not to be the goal of analogical reasoning in actual scientific practice

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Author Profiles

Tarja Knuuttila
University of Vienna
Andrea Loettgers
University of Vienna

Citations of this work

Basic Science Through Engineering? Synthetic Modeling and the Idea of Biology-Inspired Engineering.Tarja Knuuttila & Andrea Loettgers - 2013 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 44 (2):158-169.
When One Model is Not Enough: Combining Epistemic Tools in Systems Biology.Sara Green - 2013 - Studies in History and Philosophy of Biological and Biomedical Sciences 44 (2):170-180.
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References found in this work

Models and Analogies in Science.Mary B. Hesse - 1963 - University of Notre Dame Press.
Models and Analogies in Science.Mary Hesse - 1965 - British Journal for the Philosophy of Science 16 (62):161-163.

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