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Linglib.Theories.Pragmatics.RSA.Questions.ResponseSelection

Response Selection Models for Polar Questions (PRIOR-PQ) (Stub) #

@cite{hawkins-etal-2025} @cite{van-rooy-2003}

R0 (literal respondent) selects uniformly among true, safe responses. R1 (pragmatic respondent) uses ToM to infer the questioner's decision problem, then soft-maximizes (1-beta) * informativity + beta * actionRelevance - w_c * cost.

Status #

The ℚ-based RSA evaluation infrastructure (RSA.Eval, RSA.Eval.sumScores, RSA.Eval.normalize, RSA.Eval.getScore) has been removed. Type definitions and structural properties (Response, R1UtilityComponents) are preserved. RSA computations (R0, R1, softmax, inferredDP) need to be re-implemented using the new RSAConfig framework.

Response to a polar question: taciturn, with-mention, or exhaustive.

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          def RSA.Questions.r0Prob (w : World) (responses : List Response) (r : Response) :

          R0: literal respondent. Uniform over true, safe responses.

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              theorem RSA.Questions.r0_grounds_pragmatics (w : World) (responses : List Response) (r : Response) :
              r0Prob w responses r > 0responseTruth r w = true

              R0 only assigns probability to true responses.

              Simple informativity: inverse of true-response count.

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                R1 utility decomposition into components.

                • informativity :
                • actionRelevance :
                • cost :
                • total :
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