Publication

A causal Bayes net analysis of dispositions

Fischer, F. & Gebharter, A., 29-Aug-2019, In : Synthese.

Research output: Contribution to journalArticleAcademicpeer-review

APA

Fischer, F., & Gebharter, A. (2019). A causal Bayes net analysis of dispositions. Synthese. https://doi.org/10.1007/s11229-019-02374-8

Author

Fischer, Florian ; Gebharter, Alexander. / A causal Bayes net analysis of dispositions. In: Synthese. 2019.

Harvard

Fischer, F & Gebharter, A 2019, 'A causal Bayes net analysis of dispositions', Synthese. https://doi.org/10.1007/s11229-019-02374-8

Standard

A causal Bayes net analysis of dispositions. / Fischer, Florian; Gebharter, Alexander.

In: Synthese, 29.08.2019.

Research output: Contribution to journalArticleAcademicpeer-review

Vancouver

Fischer F, Gebharter A. A causal Bayes net analysis of dispositions. Synthese. 2019 Aug 29. https://doi.org/10.1007/s11229-019-02374-8


BibTeX

@article{25436de521e9489486feef899df26628,
title = "A causal Bayes net analysis of dispositions",
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.",
author = "Florian Fischer and Alexander Gebharter",
year = "2019",
month = aug,
day = "29",
doi = "10.1007/s11229-019-02374-8",
language = "English",
journal = "Synthese",
issn = "1573-0964",
publisher = "SPRINGER",

}

RIS

TY - JOUR

T1 - A causal Bayes net analysis of dispositions

AU - Fischer, Florian

AU - Gebharter, Alexander

PY - 2019/8/29

Y1 - 2019/8/29

N2 - 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.

AB - 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.

U2 - 10.1007/s11229-019-02374-8

DO - 10.1007/s11229-019-02374-8

M3 - Article

JO - Synthese

JF - Synthese

SN - 1573-0964

ER -

ID: 93630722