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Not so rational: A more natural way to understand the ANS

Published online by Cambridge University Press:  15 December 2021

Eli Hecht ,
Tracey Mills ,
Steven Shin  and
Jonathan Phillips Open the ORCID record for Jonathan Phillips [Opens in a new window]
Eli Hecht
Affiliation:
Program in Cognitive Science, Dartmouth College, Hanover, NH03755, USA. [email protected]@[email protected]@dartmouth.eduhttp://phillab.host.dartmouth.edu/
Tracey Mills
Affiliation:
Program in Cognitive Science, Dartmouth College, Hanover, NH03755, USA. [email protected]@[email protected]@dartmouth.eduhttp://phillab.host.dartmouth.edu/
Steven Shin
Affiliation:
Program in Cognitive Science, Dartmouth College, Hanover, NH03755, USA. [email protected]@[email protected]@dartmouth.eduhttp://phillab.host.dartmouth.edu/
Jonathan Phillips
Affiliation:
Program in Cognitive Science, Dartmouth College, Hanover, NH03755, USA. [email protected]@[email protected]@dartmouth.eduhttp://phillab.host.dartmouth.edu/
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Abstract

In contrast to Clarke and Beck's claim that that the approximate number system (ANS) represents rational numbers, we argue for a more modest alternative: The ANS represents natural numbers, and there are separate, non-numeric processes that can be used to represent ratios across a wide range of domains, including natural numbers.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 44 , 2021 , e190
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Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press

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