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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DOI 10.2307/40271344
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References found in this work BETA
Peter Spirtes, Clark Glymour & Richard Scheines (1996). Causation, Prediction, and Search. British Journal for the Philosophy of Science 47 (1):113-123.
E. J. Lemmon (1965). Beginning Logic. Monograph Collection (Matt - Pseudo).

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