Journal of Philosophy 114 (11):592-622 (2017)

Authors
Holly Andersen
Simon Fraser University
Abstract
This paper articulates an account of causation as a collection of information-theoretic relationships between patterns instantiated in the causal nexus. I draw on Dennett’s account of real patterns to characterize potential causal relata as patterns with specific identification criteria and noise tolerance levels, and actual causal relata as those patterns instantiated at some spatiotemporal location in the rich causal nexus as originally developed by Salmon. I develop a representation framework using phase space to precisely characterize causal relata, including their degree of counterfactual robustness, causal profiles, causal connectivity, and privileged grain size. By doing so, I show how the philosophical notion of causation can be rendered in a format that is amenable for direct application of mathematical techniques from information theory such that the resulting informational measures are causal informational measures. This account provides a metaphysics of causation that supports interventionist semantics and causal modeling and discovery techniques.
Keywords causation  information  patterns  causal modelling  counterfactuals  interventionism  Salmon  Dennett
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ISBN(s) 0022-362X
DOI 10.5840/jphil20171141142
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References found in this work BETA

Real Patterns.Daniel C. Dennett - 1991 - Journal of Philosophy 88 (1):27-51.
Real Patterns.Daniel C. Dennett - 1991 - Journal of Philosophy 88 (1):27-51.

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Citations of this work BETA

The Causal Economy Approach to Scientific Explanation.Laura Franklin-Hall - forthcoming - Minnesota Studies in the Philosophy of Science.

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