Imprecise Probabilities as a Semantics for Intuitive Probabilistic Reasoning

Harry Crane

Imprecise Probabilities as a Semantics for Intuitive Probabilistic Reasoning

Harry Crane

Proceedings of the Eleventh International Symposium on Imprecise Probabilities: Theories and Applications, PMLR 103:111-120, 2019.

Abstract

I prove a connection between the logical framework for intuitive probabilistic reasoning (IPR) introduced by Crane (2017) and sets of probabilities. More specifically, this connection provides a straightforward interpretation of imprecise probabilities as subjective credal states, giving a formal semantics for Crane’s IPR proposal.

Cite this Paper

BibTeX


@InProceedings{pmlr-v103-crane19a,
  title = 	 {Imprecise Probabilities as a Semantics for Intuitive Probabilistic Reasoning},
  author =       {Crane, Harry},
  booktitle = 	 {Proceedings of the Eleventh International Symposium on Imprecise Probabilities: Theories and Applications},
  pages = 	 {111--120},
  year = 	 {2019},
  editor = 	 {De Bock, Jasper and de Campos, Cassio P. and de Cooman, Gert and Quaeghebeur, Erik and Wheeler, Gregory},
  volume = 	 {103},
  series = 	 {Proceedings of Machine Learning Research},
  month = 	 {03--06 Jul},
  publisher =    {PMLR},
  pdf = 	 {http://proceedings.mlr.press/v103/crane19a/crane19a.pdf},
  url = 	 {https://proceedings.mlr.press/v103/crane19a.html},
  abstract = 	 {I prove a connection between the logical framework for intuitive probabilistic reasoning (IPR) introduced by Crane (2017) and sets of probabilities. More specifically, this connection provides a straightforward interpretation of imprecise probabilities as subjective credal states, giving a formal semantics for Crane’s IPR proposal.}
}

Endnote

%0 Conference Paper
%T Imprecise Probabilities as a Semantics for Intuitive Probabilistic Reasoning
%A Harry Crane
%B Proceedings of the Eleventh International Symposium on Imprecise Probabilities: Theories and Applications
%C Proceedings of Machine Learning Research
%D 2019
%E Jasper De Bock
%E Cassio P. de Campos
%E Gert de Cooman
%E Erik Quaeghebeur
%E Gregory Wheeler	
%F pmlr-v103-crane19a
%I PMLR
%P 111--120
%U https://proceedings.mlr.press/v103/crane19a.html
%V 103
%X I prove a connection between the logical framework for intuitive probabilistic reasoning (IPR) introduced by Crane (2017) and sets of probabilities. More specifically, this connection provides a straightforward interpretation of imprecise probabilities as subjective credal states, giving a formal semantics for Crane’s IPR proposal.

APA


Crane, H.. (2019). Imprecise Probabilities as a Semantics for Intuitive Probabilistic Reasoning. Proceedings of the Eleventh International Symposium on Imprecise Probabilities: Theories and Applications, in Proceedings of Machine Learning Research 103:111-120 Available from https://proceedings.mlr.press/v103/crane19a.html.

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