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Article: Logic-based updating

TitleLogic-based updating
Authors
Issue Date30-Aug-2024
PublisherElsevier
Citation
Journal of Economic Theory, 2024, v. 221 How to Cite?
Abstract

We build on AGM belief revision (Alchourrón et al. (1985)) and propose a class of updating rules called pragmatic rules. Pragmatic updating applies to multiple priors and requires that the agent's posteriors be the subset of her priors under which the realized event occurs with probability 1, if such priors exist. We construct a propositional language based on qualitative probability and demonstrate the strong relation between belief updating rules and belief revision rules in this language. We show that an updating rule is consistent with AGM belief revision if and only if it is pragmatic. While maximum likelihood updating is pragmatic in general, full-Bayesian updating is not. We characterize maximum likelihood updating within the AGM framework, and show that full-Bayesian updating can be obtained by dropping one of AGM's postulates.


Persistent Identifierhttp://hdl.handle.net/10722/345969
ISSN
2023 Impact Factor: 1.4
2023 SCImago Journal Rankings: 3.218

 

DC FieldValueLanguage
dc.contributor.authorMa, Jinling-
dc.contributor.authorZhao, Chen-
dc.date.accessioned2024-09-04T07:06:49Z-
dc.date.available2024-09-04T07:06:49Z-
dc.date.issued2024-08-30-
dc.identifier.citationJournal of Economic Theory, 2024, v. 221-
dc.identifier.issn0022-0531-
dc.identifier.urihttp://hdl.handle.net/10722/345969-
dc.description.abstract<p>We build on AGM belief revision (<a href="https://www.sciencedirect.com/science/article/abs/pii/S0022053124001078?via%3Dihub#br0010">Alchourrón et al. (1985)</a>) and propose a class of updating rules called pragmatic rules. Pragmatic updating applies to multiple priors and requires that the agent's posteriors be the subset of her priors under which the realized event occurs with probability 1, if such priors exist. We construct a propositional language based on qualitative probability and demonstrate the strong relation between belief updating rules and belief revision rules in this language. We show that an updating rule is consistent with AGM belief revision if and only if it is pragmatic. While maximum likelihood updating is pragmatic in general, full-Bayesian updating is not. We characterize maximum likelihood updating within the AGM framework, and show that full-Bayesian updating can be obtained by dropping one of AGM's postulates.<br></p>-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofJournal of Economic Theory-
dc.titleLogic-based updating-
dc.typeArticle-
dc.identifier.doi10.1016/j.jet.2024.105901-
dc.identifier.volume221-
dc.identifier.eissn1095-7235-
dc.identifier.issnl0022-0531-

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