{"pk":29431,"title":"Dynamics vs. Development in Numerosity Estimation: A Computational ModelAccurately Predicts a Developmental Reversal","subtitle":null,"abstract":"Perceptual judgments result from a dynamic process, but little is known about the dynamics of numerosity estimation. Arecent study proposed a computational model (D-MLLM) that combined a model of trial-to-trial changes with a modelfor the internal scaling of discrete number. Here, we tested a surprising prediction of the model – a situation in whichchildren’s estimates of numerosity would be better than those of adults. Consistent with the model simulations, taskcontexts led to a clear developmental reversal: children made more adult-like, linear estimates when to-be-estimatednumbers were descending over trials (backward), whereas adults became more like children with log estimates whennumbers were ascending (forward). In addition, adults’ estimates were subject to inter-trial differences regardless ofstimulus order. In contrast, children were not able to use the trial-to-trial dynamics unless task contexts were salient(forward or backward order), indicating the limited memory capacity for dynamic updates. Together, the model adequatelypredicts both developmental and trial-to-trial changes in number-line tasks.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[],"section":"Numerosity","is_remote":true,"remote_url":"https://escholarship.org/uc/item/6zd812kk","frozenauthors":[{"first_name":"Dan","middle_name":"","last_name":"Kim","name_suffix":"","institution":"The Ohio State University","department":""},{"first_name":"John","middle_name":"","last_name":"Opfer","name_suffix":"","institution":"The Ohio State University","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2020-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/29431/galley/19291/download/"}]}