Drouet, Isabelle (2008) Is determinism more favorable than indeterminism for the causal Markov condition? In: UNSPECIFIED.

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Abstract

The present text comments on a paper by Daniel Steel, in which the author claims to extent from the deterministic to the general case the result according to which the causal Markov condition is satisfied by systems with jointly independent exogenous variables. I show that Steel's claim cannot be accepted unless one is prepared to abandon standard causal modeling terminology. Correlatively, I argue that the most fruitful aspect of Steel's paper consists in a realist conception of error terms and I show how this conception sheds new light on the relationship between determinism and the causal Markov condition.

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Item Type:	Conference or Workshop Item (UNSPECIFIED)
Creators:	Creators Email ORCID Drouet, Isabelle
Keywords:	Bayesian networks, causal Markov condition
Subjects:	General Issues > Causation General Issues > Determinism/Indeterminism
Depositing User:	Isabelle Drouet
Date Deposited:	02 Nov 2008
Last Modified:	07 Oct 2010 15:17
Item ID:	4287
Subjects:	General Issues > Causation General Issues > Determinism/Indeterminism
Date:	2008
URI:	https://philsci-archive.pitt.edu/id/eprint/4287

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