Copredication in Context: A Predictive Processing Approach

Autor/inn/en	Löhr, Guido; Michel, Christian
Titel	Copredication in Context: A Predictive Processing Approach
Quelle	In: Cognitive Science, 46 (2022) 5, (27 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Löhr, Guido)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1551-6709
DOI	10.1111/cogs.13138
Schlagwörter	Cognitive Processes; Intuition; Decision Making; Ethics; Semantics; Nouns; Models; Prediction; Prior Learning; Context Effect + Suchen Sie Ihr Suchwort? Cognitive process; Kognitiver Prozess; Decision-making; Entscheidungsfindung; Ethik; Semantik; Analogiemodell; Vorhersage; Vorkenntnisse
Abstract	We propose a cognitive-psychological model of linguistic intuitions about copredication statements. In copredication statements, like "The book is heavy and informative," the nominal denotes two ontologically distinct entities at the same time. This has been considered a problem for standard truth-conditional semantics. In this paper, we discuss two questions that have so far received less attention: What kinds of word representations and cognitive mechanisms are responsible for judgments about the felicitousness of copredication statements? Relatedly, why can similar copredication statements have different degrees of felicitousness? We first propose a cognitive-computational model of copredication within the predictive processing framework. We then suggest that certain asymmetries in felicitousness judgments can be modeled in terms of a set of expectations that are influenced by higher-order priors associated with discourse context and world knowledge. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01