{"title":"Limits to Language Prediction: Findings From Diverse Populations.","authors":"Aine Ito","doi":"10.1111/tops.70069","DOIUrl":null,"url":null,"abstract":"<p><p>For a model in cognitive science to adequately explain cognitive processes across different populations, empirical findings from diverse participant groups are essential. This paper selectively reviews studies that investigated prediction in different populations and discusses what they reveal about the mechanisms and role of language prediction. To build a generalizable model of prediction and to understand the role of prediction in language comprehension and learning, it is crucial to understand both the brain's potential and limits to prediction. Findings from WEIRD (Western, Educated, Industrialized, Rich, and Democratic) populations have demonstrated the brain's remarkable ability to predict upcoming language. However, findings from diverse populations (e.g., second-language speakers, heritage speakers, low-literacy adults, children and older adults, adults from different socioeconomic backgrounds) highlight important limits to language prediction and suggest that prediction is modulated by individual differences beyond what has been found in WEIRD populations. I suggest that these individual differences can be explained by the currently proposed prediction models without assuming qualitatively different mechanisms for different populations.</p>","PeriodicalId":47822,"journal":{"name":"Topics in Cognitive Science","volume":" ","pages":"e70069"},"PeriodicalIF":3.3000,"publicationDate":"2026-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Topics in Cognitive Science","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1111/tops.70069","RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
For a model in cognitive science to adequately explain cognitive processes across different populations, empirical findings from diverse participant groups are essential. This paper selectively reviews studies that investigated prediction in different populations and discusses what they reveal about the mechanisms and role of language prediction. To build a generalizable model of prediction and to understand the role of prediction in language comprehension and learning, it is crucial to understand both the brain's potential and limits to prediction. Findings from WEIRD (Western, Educated, Industrialized, Rich, and Democratic) populations have demonstrated the brain's remarkable ability to predict upcoming language. However, findings from diverse populations (e.g., second-language speakers, heritage speakers, low-literacy adults, children and older adults, adults from different socioeconomic backgrounds) highlight important limits to language prediction and suggest that prediction is modulated by individual differences beyond what has been found in WEIRD populations. I suggest that these individual differences can be explained by the currently proposed prediction models without assuming qualitatively different mechanisms for different populations.
期刊介绍:
Topics in Cognitive Science (topiCS) is an innovative new journal that covers all areas of cognitive science including cognitive modeling, cognitive neuroscience, cognitive anthropology, and cognitive science and philosophy. topiCS aims to provide a forum for: -New communities of researchers- New controversies in established areas- Debates and commentaries- Reflections and integration The publication features multiple scholarly papers dedicated to a single topic. Some of these topics will appear together in one issue, but others may appear across several issues or develop into a regular feature. Controversies or debates started in one issue may be followed up by commentaries in a later issue, etc. However, the format and origin of the topics will vary greatly.