A causal Bayes net analysis of dispositions

Florian Fischer, Alexander Gebharter*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

4 Citations (Scopus)
138 Downloads (Pure)

Abstract

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.
Original languageEnglish
Pages (from-to)4873–4895
Number of pages23
JournalSynthese
Volume198
Early online date29-Aug-2019
DOIs
Publication statusPublished - May-2021

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