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Measuring Causal Specificity

Griffiths, Paul E. ; Pocheville, Arnaud ; Calcott, Brett ; Stotz, Karola ; Kim, Hyunju ; Knight, Rob

Philosophy of science, 2015-10, Vol.82 (4), p.529-555 [同儕審閱期刊]

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題名:
Measuring Causal Specificity
著者: Griffiths, Paul E. ; Pocheville, Arnaud ; Calcott, Brett ; Stotz, Karola ; Kim, Hyunju ; Knight, Rob
主題: Causality ; Causation ; Deoxyribonucleic acid ; DNA ; Entropy ; Genes ; Genetic variation ; Information economics ; Information theory ; Measurement ; Probability ; Probability distributions ; Promoter regions ; RNA ; Splicing
所屬期刊: Philosophy of science, 2015-10, Vol.82 (4), p.529-555
描述: Several authors have argued that causes differ in the degree to which they are ‘specific’ to their effects. Woodward has used this idea to enrich his influential interventionist theory of causal explanation. Here we propose a way to measure causal specificity using tools from information theory. We show that the specificity of a causal variable is not well defined without a probability distribution over the states of that variable. We demonstrate the tractability and interest of our proposed measure by measuring the specificity of coding DNA and other factors in a simple model of the production of mRNA.
出版者: Cambridge: University of Chicago Press
語言: 英文
識別號: ISSN: 0031-8248
EISSN: 1539-767X
DOI: 10.1086/682914
CODEN: PHSCA6
資源來源: EBSCOhost Academic Search Premier

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