PhilSci Archive

On the Incompatibility of Dynamical Biological Mechanisms and Causal Graph Theory

Weber, Marcel (2014) On the Incompatibility of Dynamical Biological Mechanisms and Causal Graph Theory. In: UNSPECIFIED.

WarningThere is a more recent version of this item available.
[img]
Preview
PDF
PSA_2014_paper.pdf

Download (1MB)

Abstract

I examine the adequacy of the causal graph-structural equations approach to causation for modeling biological mechanisms. I focus in particular on mechanisms with complex dynamics such as the PER biological clock mechanism in Drosophila. I show that a quantitative model of this mechanism that uses coupled differential equations – the well-known Goldbeter model – cannot be adequately represented in the standard (interventionist) causal graph framework, even though this framework does permit causal cycles. The reason is that the model contains dynamical information about the mechanism that concerns causal properties but that does not correspond to variables that could be subject to independent interventions. Thus, a representation of the mechanisms as a causal structural model necessarily suppresses causally relevant information.


Export/Citation: EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL
Social Networking:
Share |

Item Type: Conference or Workshop Item (UNSPECIFIED)
Creators:
CreatorsEmailORCID
Weber, Marcelmarcel.weber@unige.ch
Keywords: Dynamical biological mechanisms, biological clock, causality, causal graphs, structural equations, differential equations, interventionism
Subjects: Specific Sciences > Biology
General Issues > Causation
General Issues > Explanation
Depositing User: Prof. Marcel Weber
Date Deposited: 29 Oct 2014 15:34
Last Modified: 29 Oct 2014 15:34
Item ID: 11096
Subjects: Specific Sciences > Biology
General Issues > Causation
General Issues > Explanation
Date: 28 October 2014
URI: https://philsci-archive.pitt.edu/id/eprint/11096

Available Versions of this Item

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item