Documentation

Linglib.Theories.Pragmatics.Assertion.Lauer

@cite{lauer-2013}: Probabilistic Assertion #

@cite{lauer-2013}

Models assertion as a speech act governed by probabilistic thresholds. A proposition is assertable when the speaker's credence exceeds a context-dependent threshold. This bridges traditional assertion theories to RSA's probabilistic pragmatic reasoning.

Key Properties #

Relation to Other Theories #

Lauer's model is closest to Stalnaker in structure (no explicit commitment/belief separation), but adds a probabilistic dimension that the CG model lacks. The threshold mechanism provides a quantitative handle on hedging and commitment strength that Krifka's ComP layer models categorically.

A credence function: the speaker's subjective probability assignment to propositions.

Rational-valued (ℚ) for exact computation, matching RSA convention. The function takes a proposition and returns a probability in [0,1].

  • prob : List (BProp W × )

    Probability assignment for a proposition (given as a list of proposition-probability pairs).

  • defaultProb :

    Default credence for propositions not in the list.

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    Look up the credence for a proposition.

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      Uninformative credence: equal probability for everything.

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        Lauer's discourse state: speaker credence + assertability threshold

        • history of assertions.

        The threshold is context-dependent: formal contexts (courtrooms) have higher thresholds than casual conversation.

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          Assert a proposition: add it to the asserted list.

          Assertability is a precondition (the speaker SHOULD have credence ≥ threshold), but the operation succeeds regardless — modeling that assertion can occur even when the norm is violated (as in lying).

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            Check if a proposition is assertable (credence ≥ threshold).

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              Context set: worlds compatible with all asserted propositions.

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                Stability: always stable (no table mechanism).

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                  RSA Correspondence #

                  Lauer's probabilistic model maps naturally to RSA parameters:

                  LauerRSARole
                  credenceworldPriorprobability over worlds
                  thresholdalpharationality / commitment level
                  assertedutterance historydiscourse context

                  The mapping is conceptual, not formal: RSA's worldPrior is a distribution over worlds (P(w)), while Lauer's credence is a probability over propositions (P(p)). The connection is:

                  P_Lauer(p) = Σ_{w: p(w)} P_RSA(w)
                  

                  This lifts RSA's world-level prior to Lauer's proposition-level credence.

                  Lauer is always stable (no pending issues mechanism).