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 = {http://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 http://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 http://proceedings.mlr.press/v103/crane19a.html.

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