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Glymour, Clark

doi:10.1023/a:1005229730590

Cited by 48 publications

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“…3 The problem of inferring causal relations from statistical evidence-particularly within the framework of causal Bayes nets-has been much discussed in recent philosophical literature (see, e.g. McKim and Turner [1997]; Cartwright [1999]; Glymour [1999] In the next section of the paper, I provide (qualitative) inference rules for fusing the various local causal models, and briefly discuss how those rules provide partial answers to the second and third questions above. I then show how these rules can be applied to a simplified, but concrete, example in Section 3.…”

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confidence: 99%

Scientific Coherence and the Fusion of Experimental Results

Danks¹

2005

The British Journal for the Philosophy of Science

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A pervasive feature of the sciences, particularly the applied sciences, is an experimental focus on a few (often only one) possible causal connections. At the same time, scientists often advance and apply relatively broad models that incorporate many different causal mechanisms. We are naturally led to ask whether there are normative rules for integrating multiple local experimental conclusions into models covering many additional variables. In this paper, we provide a positive answer to this question by developing several inference rules that use local causal models to place constraints on the integrated model, given quite general assumptions. We also demonstrate the practical value of these rules by applying them to a case study from ecology.

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confidence: 99%