@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 #
- Credence function: the speaker's subjective probability over
worlds (rational-valued, matching RSA's
worldPrior) - Assertability threshold: a credence threshold above which
assertion is licensed (matching RSA's
alphaparameter) - Bridge to RSA: Lauer's credence maps to RSA's
worldPrior, and the threshold maps to the rationality parameter
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].
Probability assignment for a proposition (given as a list of proposition-probability pairs).
- defaultProb : ℚ
Default credence for propositions not in the list.
Instances For
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.
- credence : Credence W
Speaker's credence function
- threshold : ℚ
Assertability threshold (credence must exceed this)
- asserted : Core.Discourse.Commitment.CommitmentSlate W
List of asserted propositions (for tracking)
Instances For
Initial state: uniform credence, default threshold, no assertions.
Equations
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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).
Equations
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Check if a proposition is assertable (credence ≥ threshold).
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Context set: worlds compatible with all asserted propositions.
Equations
- s.contextSet w = (s.asserted.toContextSet w = true)
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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:
| Lauer | RSA | Role |
|---|---|---|
credence | worldPrior | probability over worlds |
threshold | alpha | rationality / commitment level |
asserted | utterance history | discourse 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).