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Numerical cognition needs more and better distinctions, not fewer

Published online by Cambridge University Press:  15 December 2021

Hilary Barth
Affiliation:
Department of Psychology, Wesleyan University, Middletown, CT 06459, USA. hbarth@wesleyan.edu ashusterman@wesleyan.edu http://hbarth.faculty.wesleyan.edu http://ashusterman.faculty.wesleyan.edu
Anna Shusterman
Affiliation:
Department of Psychology, Wesleyan University, Middletown, CT 06459, USA. hbarth@wesleyan.edu ashusterman@wesleyan.edu http://hbarth.faculty.wesleyan.edu http://ashusterman.faculty.wesleyan.edu

Abstract

We agree that the approximate number system (ANS) truly represents number. We endorse the authors' conclusions on the arguments from confounds, congruency, and imprecision, although we disagree with many claims along the way. Here, we discuss some complications with the meanings that undergird theories in numerical cognition, and with the language we use to communicate those theories.

Information

Type
Open Peer Commentary
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press

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