Copredication in Context: A Predictive Processing Approach

Published on April 30, 2022

Understanding the complexities of copredication statements is like solving a mind-boggling puzzle. In these statements, a single phrase describes two different entities at once, which puzzles truth-conditional semantics. To unravel this mystery, researchers have delved into two intriguing questions: What mechanisms shape our judgments about whether copredication statements make sense? And why do similar statements varying in their degree of sensibility? They propose a sophisticated model within the predictive processing framework that sheds light on both questions. This cognitive-computational model explores how word representations and cognitive processes influence our perception of copredication validity. Additionally, it explains the variations in degrees of sensibility by considering expectations based on higher-order priors and their link to discourse context and world knowledge. By aligning linguistic intuitions with cognitive mechanisms, this research broadens our understanding of copredication in language. For an in-depth exploration and thrilling conclusions, dive into the full article!

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.

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