Learning from conditionals: Updating by Jeffrey conditionalization
| Autor: | Lipp, Tobias |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| DOI: | 10.5281/zenodo.6376227 |
| Popis: | An agent who learns the indicative conditional ’If A, then B.’ should update her credences. It has recently been proposed that independent to whether the conditional is strict or non-strict, the agent should update by Bayesian respectively Jeffrey conditionalization on ¬A ∨ B (c. f. Lipp 2022). In this note we provide the proof that Jeffrey conditionalization on ¬A ∨ B is rigid and that ¬A ∨ B is atomic which are both necessary conditions for the application of Jeffrey conditionalization. {"references":["Jeffrey, Richard C. 1983. The logic of decision. University of Chicago press.","Lipp, Tobias. 2022. Learning from conditionals: A critical assessment of recent proposals. doi:10.5281/zenodo.6327434. https://doi.org/10.5281/zenodo.6327434."]} |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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