Kaiser, Marie I. (2016). On the Limits of Causal Modeling: Spatially-Structurally Complex Biological Phenomena. Philos. Sci., 83 (5). S. 921 - 934. CHICAGO: UNIV CHICAGO PRESS. ISSN 1539-767X

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Abstract

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.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Kaiser, Marie I.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-254526
DOI: 10.1086/687875
Journal or Publication Title: Philos. Sci.
Volume: 83
Number: 5
Page Range: S. 921 - 934
Date: 2016
Publisher: UNIV CHICAGO PRESS
Place of Publication: CHICAGO
ISSN: 1539-767X
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
DNA RECOGNITION; SPECIFICITYMultiple languages
History & Philosophy Of ScienceMultiple languages
Refereed: Yes
URI: http://kups.ub.uni-koeln.de/id/eprint/25452

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