# Probabilistic coherence measures: a psychological study of coherence assessment

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## Abstract

Over the years several non-equivalent probabilistic measures of coherence have been discussed in the philosophical literature. In this paper we examine these measures with respect to their empirical adequacy. Using test cases from the coherence literature as vignettes for psychological experiments we investigate whether the measures can predict the subjective coherence assessments of the participants. It turns out that the participants’ coherence assessments are best described by Roche’s (Insights from philosophy, jurisprudence and artificial intelligence, 2013) coherence measure based on Douven and Meijs’ (Synthese 156:405–425, 2007) average mutual support approach and the conditional probability.

## Keywords

Bayesian coherentism Probabilistic coherence measures Probabilistic support measures Test cases Experimental philosophy## Notes

### Acknowledgments

We would like to thank (in alphabetical order) Arndt Bröder, Andreas Glöckner, Björn Meder, Michael Schippers and Mark Siebel for their contributions. We would also like to thank the participants of the Operationalization Workshop 2013 in Freiburg for helpful comments. This work was supported by grant SI 1731/1-1 to Mark Siebel and grant GL 632/3-1 and BR 2130/8-1 to Andreas Glöckner and Arndt Bröder from the Deutsche Forschungsgemeinschaft (DFG) as part of the priority program “New Frameworks of Rationality” (SPP 1516).

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