Epistemic Limitations and Precise Estimates in Analog Magnitude Representation

In D. Barner & A. Baron (eds.), Core Knowledge and Conceptual Change. Oxford: Oxford University Press. pp. 167-186 (2016)
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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.

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Justin Halberda
Johns Hopkins University

Citations of this work

The number sense represents (rational) numbers.Sam Clarke & Jacob Beck - 2021 - Behavioral and Brain Sciences 44:1-57.
Compositionality and constituent structure in the analogue mind.Sam Clarke - 2023 - Philosophical Perspectives 37 (1):90-118.

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References found in this work

The origin of concepts.Susan Carey - 2009 - New York: Oxford University Press.
The Principles of Psychology.William James - 1890 - Les Etudes Philosophiques 11 (3):506-507.
The Principles of Psychology.William James - 1891 - International Journal of Ethics 1 (2):143-169.

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