ERIC Number: EJ1336785
Record Type: Journal
Publication Date: 2022-May
Pages: 27
Abstractor: As Provided
ISBN: N/A
ISSN: EISSN-1551-6709
EISSN: N/A
Copredication in Context: A Predictive Processing Approach
Löhr, Guido; Michel, Christian
Cognitive Science, v46 n5 e13138 May 2022
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.
Descriptors: Cognitive Processes, Intuition, Decision Making, Ethics, Semantics, Nouns, Models, Prediction, Prior Learning, Context Effect
Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://bibliotheek.ehb.be:2191/en-us
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A