Probabilistic modeling of rational communication with conditionals *

Autor(en): Grusdt, Britta
Lassiter, Daniel
Franke, Michael 
Stichwörter: ACCOUNT; causal Bayes nets; CAUSALITY; computational pragmatics; COVARIATION; indicative conditionals; inferentialism; Language & Linguistics; Linguistics; PRAGMATICS; Rational-Speech-Act model; RELEVANCE; SEMANTICS
Erscheinungsdatum: 2022
Herausgeber: LINGUISTIC SOC AMER
Enthalten in: SEMANTICS & PRAGMATICS
Band: 15
Zusammenfassung: 
While a large body of work has scrutinized the meaning of conditional sentences, considerably less attention has been paid to formal models of their pragmatic use and interpretation. Here, we take a probabilistic approach to pragmatic reasoning about indicative conditionals which flexibly integrates gradient beliefs about richly structured world states. We model listeners' update of their prior beliefs about the causal structure of the world and the joint probabilities of the consequent and antecedent based on assumptions about the speaker's utterance production protocol. We show that, when supplied with natural contextual assumptions, our model uniformly explains a number of inferences attested in the literature, including epistemic inferences, conditional perfection and the dependency between antecedent and consequent of a conditional. We argue that this approach also helps explain three puzzles introduced by Douven (2012) about updating with conditionals: depending on the utterance context, the listener's belief in the antecedent may increase, decrease or remain unchanged.
ISSN: 1937-8912
DOI: 10.3765/sp.15.13

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