Synthese (5):4873-4895 (2019)

Florian Fischer
Universität Siegen
Alexander Gebharter
Ludwig Maximilians Universität, München
In this paper we develop an analysis of dispositions by means of causal Bayes nets. In particular, we analyze dispositions as cause-effect structures that increase the probability of the manifestation when the stimulus is brought about by intervention in certain circumstances. We then highlight several advantages of our analysis and how it can handle problems arising for classical analyses of dispositions such as masks, mimickers, and finks.
Keywords dispositions  causal Bayes nets  masks  mimickers  finks
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Reprint years 2019
DOI 10.1007/s11229-019-02374-8
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References found in this work BETA

The Concept of Mind.Gilbert Ryle - 1949 - Hutchinson & Co.
Fact, Fiction, and Forecast.Nelson Goodman - 1955 - Harvard University Press.
Nature’s Metaphysics.Alexander Bird - 2007 - Oxford University Press.

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Citations of this work BETA

A Refined Propensity Account for GRW Theory.Lorenzo Lorenzetti - 2021 - Foundations of Physics 51 (2):1-20.
On Dispositional Masks.Matthew Turyn - forthcoming - Synthese:1-22.

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