PhilSci Archive

Structural Equations and Beyond

Huber, Franz (2013) Structural Equations and Beyond. Review of Symbolic Logic, 6 (4). pp. 709-732.

[img]
Preview
PDF
Structural_Equations_and_Beyond.pdf

Download (233kB)

Abstract

Recent accounts of actual causation are stated in terms of extended causal models. These extended causal models contain two elements representing two seemingly distinct modalities. The first element are structural equations which represent the “(causal) laws” or mechanisms of the model, just as ordinary causal models do. The second element are ranking functions which represent normality or typicality. The aim of this paper is to show that these two modalities can be unified. I do so by formulating two constraints under which extended causal models with their two modalities can be subsumed under so called “counterfactual models” which contain just one modality. These two constraints will be formally precise versions of Lewis’ (1979) familiar “system of weights or priorities” governing overall similarity between possible worlds.


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

Item Type: Published Article or Volume
Creators:
CreatorsEmailORCID
Huber, Franzfranz.huber@utoronto.ca
Subjects: General Issues > Causation
General Issues > Explanation
General Issues > Laws of Nature
Specific Sciences > Probability/Statistics
Depositing User: Unnamed user with email franz.huber@utoronto.ca
Date Deposited: 09 Jul 2014 14:18
Last Modified: 09 Jul 2014 14:18
Item ID: 10837
Journal or Publication Title: Review of Symbolic Logic
Publisher: CUP
Official URL: http://journals.cambridge.org/action/displayAbstra...
Subjects: General Issues > Causation
General Issues > Explanation
General Issues > Laws of Nature
Specific Sciences > Probability/Statistics
Date: 2013
Page Range: pp. 709-732
Volume: 6
Number: 4
URI: https://philsci-archive-dev.library.pitt.edu/id/eprint/10837

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item