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    Jeffrey conditionalization, not simple Bayesian condition... — Carmelics
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    Challenges→Bayesian conditioning is the probabilistic counterpart of logical public announcements when new information is accepted as irrevocably true by all agents.

    Jeffrey conditionalization, not simple Bayesian conditioning, is the correct probabilistic model for evidence that shifts credences without certainty, as Richard Jeffrey argued in 'The Logic of Decision'.

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    Key Terms

    Bayesian conditioning(Probabilistic counterpart to logical public announcements when information is hard.)
    The probabilistic operation of recalculating probability distributions by conditioning on the truth of newly received information.
    Jeffrey conditionalization(Bayesian epistemology)
    A generalization of strict conditionalization in which an agent updates probabilities when evidence shifts the probabilities of a partition of propositions without fixing any to 0 or 1
    Richard Jeffrey(the statement is about his theory)
    A 20th-century philosopher who studied how people update their beliefs when they learn new information, and he developed an important theory about it called probability kinematics.
    The Logic of Decision(where Jeffrey first presented this argument)
    A landmark book published by Richard Jeffrey in 1965 that introduced his new theory about how people should make decisions and update beliefs under uncertainty.

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    credences(Bayesian probability)
    Degrees of belief held by an agent, identified in the Dutch Book argument with the agent's betting prices
    probabilistic model(statistics and physics)
    A mathematical framework that describes what might happen in an experiment using probabilities (chances or likelihoods) rather than certainties.

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    Truth & Knowledge1 linkedPhilosophy of Language1 linked

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