Uncovering deterministic causal structures: A Boolean approach

Synthese 170 (1):71 - 96 (2009)
While standard procedures of causal reasoning as procedures analyzing causal Bayesian networks are custom-built for (non-deterministic) probabilistic structures, this paper introduces a Boolean procedure that uncovers deterministic causal structures. Contrary to existing Boolean methodologies, the procedure advanced here successfully analyzes structures of arbitrary complexity. It roughly involves three parts: first, deterministic dependencies are identified in the data; second, these dependencies are suitably minimalized in order to eliminate redundancies; and third, one or—in case of ambiguities—more than one causal structure is assigned to the minimalized deterministic dependencies.
Keywords Causation  Causal reasoning  Discovery algorithms  Deterministic structures
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References found in this work BETA
Douglas Ehring (1982). Causal Asymmetry. Journal of Philosophy 79 (12):761-774.

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