Abstract
This chapter presents a re-understanding of the contents of our analog
magnitude representations (e.g., approximate duration, distance, number). The
approximate number system (ANS) is considered, which supports numerical
representations that are widely described as fuzzy, noisy, and limited in their
representational power. The contention is made that these characterizations are
largely based on misunderstandings—that what has been called “noise” and
“fuzziness” is actually an important epistemic signal of confidence in one’s
estimate of the value. Rather than the ANS having noisy or fuzzy numerical
content, it is suggested that the ANS has exquisitely precise numerical content
that is subject to epistemic limitations. Similar considerations will arise for other
analog representations. The chapter discusses how this new understanding of
ANS representations recasts the learnability problem for number and the
conceptual changes that children must accomplish in the number domain.