| Title: | Bayesians still don’t learn from conditionals |
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| Authors: | ID Günther, Mario (Author)
ID Trpin, Borut (Author) |
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| Files: |  Gunther-2023-Bayesians_Still_Don_t_Learn_from.pdf (657,45 KB)
MD5: 23884130F44C36FB168977AD88022257
 https://doi.org/10.1007/s12136-022-00527-y
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| Language: | English |
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| Work type: | Article |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FF - Faculty of Arts
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| Abstract: | One of the open questions in Bayesian epistemology is how to rationally learn from indicative conditionals (Douven, 2016). Eva et al. (Mind 129(514):461–508, 2020) propose a strategy to resolve this question. They claim that their strategy provides a “uniquely rational response to any given learning scenario”. We show that their updating strategy is neither very general nor always rational. Even worse, we generalize their strategy and show that it still fails. Bad news for the Bayesians. |
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| Keywords: | beliefs, belief updating, conditionals, formal epistemology |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 13.12.2021 |
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| Article acceptance date: | 29.08.2022 |
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| Publication date: | 19.09.2023 |
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| Publisher: | Springer Nature |
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| Year of publishing: | 2023 |
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| Number of pages: | Str. 439-451 |
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| Numbering: | Letn. 38, Št. 3 |
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| PID: | 20.500.12556/DKUM-87520  |
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| UDC: | 165.8 |
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| ISSN on article: | 0353-5150 |
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| COBISS.SI-ID: | 128533251 |
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| DOI: | 10.1007/s12136-022-00527-y |
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| Publication date in DKUM: | 19.03.2024 |
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| Views: | 370 |
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| Downloads: | 26 |
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| Metadata: |    |
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| Categories: | Misc.
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