Belief revision from probability
In previous work ("Knowledge from Probability", TARK 2021) we develop a question-relative, probabilistic account of belief. On this account, what someone believes relative to a given question is (i) closed under entailment, (ii) sufficiently probable given their evidence, and (iii) sensiti...
| Principais autores: | , |
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| Formato: | Conference item |
| Idioma: | English |
| Publicado em: |
Electronic Proceedings in Theoretical Computer Science
2023
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| _version_ | 1826311423987286016 |
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| author | Salow, BJ Goodman, J |
| author_facet | Salow, BJ Goodman, J |
| author_sort | Salow, BJ |
| collection | OXFORD |
| description | In previous work ("Knowledge from Probability", TARK 2021) we develop a question-relative, probabilistic account of belief. On this account, what someone believes relative to a given question is (i) closed under entailment, (ii) sufficiently probable given their evidence, and (iii) sensitive to the relative probabilities of the answers to the question. Here we explore the implications of this account for the dynamics of belief. We show that the principles it validates are much weaker than those of orthodox theories of belief revision like AGM, but still stronger than those valid according to the popular Lockean theory of belief, which equates belief with high subjective probability. We then consider a restricted class of models, suitable for many but not all applications, and identify some further natural principles valid on this class. We conclude by arguing that the present framework compares favorably to the rival probabilistic accounts of belief developed by Leitgeb and by Lin and Kelly. |
| first_indexed | 2024-03-07T08:09:41Z |
| format | Conference item |
| id | oxford-uuid:78a10fc3-dbc5-4216-a5f1-40bd45031b6a |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T08:09:41Z |
| publishDate | 2023 |
| publisher | Electronic Proceedings in Theoretical Computer Science |
| record_format | dspace |
| spelling | oxford-uuid:78a10fc3-dbc5-4216-a5f1-40bd45031b6a2023-11-15T09:36:39ZBelief revision from probabilityConference itemhttp://purl.org/coar/resource_type/c_5794uuid:78a10fc3-dbc5-4216-a5f1-40bd45031b6aEnglishSymplectic ElementsElectronic Proceedings in Theoretical Computer Science2023Salow, BJGoodman, JIn previous work ("Knowledge from Probability", TARK 2021) we develop a question-relative, probabilistic account of belief. On this account, what someone believes relative to a given question is (i) closed under entailment, (ii) sufficiently probable given their evidence, and (iii) sensitive to the relative probabilities of the answers to the question. Here we explore the implications of this account for the dynamics of belief. We show that the principles it validates are much weaker than those of orthodox theories of belief revision like AGM, but still stronger than those valid according to the popular Lockean theory of belief, which equates belief with high subjective probability. We then consider a restricted class of models, suitable for many but not all applications, and identify some further natural principles valid on this class. We conclude by arguing that the present framework compares favorably to the rival probabilistic accounts of belief developed by Leitgeb and by Lin and Kelly. |
| spellingShingle | Salow, BJ Goodman, J Belief revision from probability |
| title | Belief revision from probability |
| title_full | Belief revision from probability |
| title_fullStr | Belief revision from probability |
| title_full_unstemmed | Belief revision from probability |
| title_short | Belief revision from probability |
| title_sort | belief revision from probability |
| work_keys_str_mv | AT salowbj beliefrevisionfromprobability AT goodmanj beliefrevisionfromprobability |