Bradley, S orcid.org/0000-0001-9663-7919 (2019) Aggregating Belief Models. In: Proceedings of the Eleventh International Symposium on Imprecise Probabilities: Theories and Applications. ISIPTA 2019 Ghent, 03-06 Jul 2019, Ghent. PMLR , pp. 38-48.
Abstract
This paper has two goals. The first goal is to say something about how one might combine different agents' imprecise probabilities to generate an aggregate imprecise probability. The second goal is to champion the very general theory of "belief models'' which, I think, deserves more attention. The belief models framework is interesting partly because many other formal models of reasoning appear as special cases of belief models (for example, propositional logic, ranking functions, imprecise probability).
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Keywords: | Aggregation; Imprecise Probabilities; Order Theory |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Arts, Humanities and Cultures (Leeds) > School of Philosophy, Religion and History of Science (Leeds) |
Funding Information: | Funder Grant number EU - European Union 792292 |
Depositing User: | Symplectic Publications |
Date Deposited: | 13 May 2019 11:51 |
Last Modified: | 24 Feb 2023 15:40 |
Published Version: | http://proceedings.mlr.press/ |
Status: | Published |
Publisher: | PMLR |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:145947 |