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- W2623924206 abstract "According to the standard definition, a Bayesian agent is one who forms his posterior belief by conditioning his prior belief on what he has learned, that is, on facts of which he has become certain. Here it is shown that Bayesianism can be described without assuming that the agent acquires any certain information; an agent is Bayesian if his prior, when conditioned on his posterior belief, agrees with the latter. This condition is shown to characterize Bayesian models." @default.
- W2623924206 created "2017-06-15" @default.
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- W2623924206 date "1999-02-23" @default.
- W2623924206 modified "2023-09-27" @default.
- W2623924206 title "Bayesianism without Learning" @default.
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