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    Plausibility semantics cannot express aggregated probabil... — Carmelics
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    Supports→Probabilistic models can express whether many low-probability events combined can outweigh even the highest-probability worlds, while plausibilistic models cannot

    Plausibility semantics cannot express aggregated probability comparisons

    Philosophy of LanguageTruth & Knowledge
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    Philosophy of LanguageTruth & Knowledge

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    Both probabilistic and plausibilistic perspectives can express that some alternative is more likely than another. However, there are also conceptual differences between the two frameworks. Probabilistic models can aggregate, allowing their logic to express, for instance, whether many low-probability events combined can outweigh even the highest-probability worlds. Aggregated probabilities play a key role, for instance, in calculations of expected utility. Yet no such thing can be expressed in pl

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