On the Limits of Causal Modeling: Spatially-Structurally Complex Biological Phenomena

Kaiser MI (2016)
Philosophy of Science 83(5): 921-933.

Zeitschriftenaufsatz | Englisch
 
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Abstract / Bemerkung
This article examines the adequacy of causal graph theory as a tool for modeling biological phenomena. I argue that the causal graph approach reaches its limits when it comes to modeling biological phenomena that involve complex spatial and chemical-structural relations. Using a case study from molecular biology, I show why causal graph models fail to adequately represent and explain biological phenomena of this kind. The inadequacy of these models is due to their failure to include relevant spatial-structural information in a way that does not render the models nonexplanatory, unmanageable, or inconsistent with basic assumptions of causal graph theory.
Erscheinungsjahr
2016
Zeitschriftentitel
Philosophy of Science
Band
83
Ausgabe
5
Seite(n)
921-933
ISSN
0031-8248
Page URI
https://pub.uni-bielefeld.de/record/2938730

Zitieren

Kaiser MI. On the Limits of Causal Modeling: Spatially-Structurally Complex Biological Phenomena. Philosophy of Science. 2016;83(5):921-933.
Kaiser, M. I. (2016). On the Limits of Causal Modeling: Spatially-Structurally Complex Biological Phenomena. Philosophy of Science, 83(5), 921-933. https://doi.org/10.1086/687875
Kaiser, M. I. (2016). On the Limits of Causal Modeling: Spatially-Structurally Complex Biological Phenomena. Philosophy of Science 83, 921-933.
Kaiser, M.I., 2016. On the Limits of Causal Modeling: Spatially-Structurally Complex Biological Phenomena. Philosophy of Science, 83(5), p 921-933.
M.I. Kaiser, “On the Limits of Causal Modeling: Spatially-Structurally Complex Biological Phenomena”, Philosophy of Science, vol. 83, 2016, pp. 921-933.
Kaiser, M.I.: On the Limits of Causal Modeling: Spatially-Structurally Complex Biological Phenomena. Philosophy of Science. 83, 921-933 (2016).
Kaiser, Marie Isabel. “On the Limits of Causal Modeling: Spatially-Structurally Complex Biological Phenomena”. Philosophy of Science 83.5 (2016): 921-933.

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