Communicating uncertain beliefs with conditionals: Probabilistic modeling and experimental data
Autor(en): | Grusdt, B. Franke, M. |
Stichwörter: | belief elicitation; Causal relationships; Cognitive systems, Belief elicitation; Computational modelling; Conditional; conditionals; Dependency relationship; pragmatic language use; Pragmatic languages; probabilistic modeling; Probabilistic models; Rule dependencies; Uncertain beliefs, Modeling languages | Erscheinungsdatum: | 2021 | Herausgeber: | The Cognitive Science Society | Journal: | Proceedings of the 43rd Annual Meeting of the Cognitive Science Society: Comparative Cognition: Animal Minds, CogSci 2021 | Startseite: | 1712 | Seitenende: | 1718 | Zusammenfassung: | Conditionals like If A, then C can be used, among others, to convey important knowledge about rules, dependencies and causal relationships. Much work has been devoted to the interpretation of conditional sentences, but much less is known about when speakers choose to use a conditional over another type of utterance in communication. To fill this gap, we consider a recently proposed computational model from probabilistic pragmatics, adapted for modeling the use of conditionals in natural language, by comparing its predictions to experimental production data from a behavioral experiment. In a novel experimental approach, we manipulate relevant causal beliefs that might influence whether utterances with conditional structure are preferred over utterances without conditional structure. This is a step towards a systematic, quantitative investigation of the situations that do or do not elicit the natural use of conditionals. © Cognitive Science Society: Comparative Cognition: Animal Minds, CogSci 2021.All rights reserved. |
Beschreibung: | Conference of 43rd Annual Meeting of the Cognitive Science Society: Comparative Cognition: Animal Minds, CogSci 2021 ; Conference Date: 26 July 2021 Through 29 July 2021; Conference Code:182813 |
Externe URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139401861&partnerID=40&md5=dc8da959ec19d6b62aaec7528a533da6 |
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