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- W3044731601 abstract "Abstract This paper contributes to a recent research program that extends arguments supporting elementary conditionalization to arguments supporting conditionalization with general, measure-theoretic conditional probabilities. I begin by suggesting an amendment to the framework that Rescorla (2018) has used to characterize regular conditional probabilities in terms of avoiding Dutch book. If we wish to model learning scenarios in which an agent gains complete membership knowledge about some subcollection of the events of interest to her, then we should focus on updating policies that are what I shall call proper . I go on to characterize regular conditional probabilities in proper learning scenarios using what van Fraassen (1999) calls The General Reflection Principle." @default.
- W3044731601 created "2020-07-29" @default.
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- W3044731601 date "2020-07-21" @default.
- W3044731601 modified "2023-10-18" @default.
- W3044731601 title "A NEW ARGUMENT FOR KOLOMOGOROV CONDITIONALIZATION" @default.
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- W3044731601 doi "https://doi.org/10.1017/s1755020320000179" @default.
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