Do Simple Probability Judgments Rely on Integer Approximation?

Shaun O'Grady, Thomas L. Griffiths, Fei Xu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

A great deal of research has been conducted on how humans reason about probability, yet it remains unknown what mental computations support this ability. Research on the development of the Approximate Number Sense (ANS) has shown that performance in a magnitude (i.e., estimations of integers) discrimination task is well fit by a psychophysical model (Halberda & Feigenson, 2008). Whether or not estimations of integers plays a role in probability judgments has yet to be investigated. In the present study we use data from two adult experiments as well as results from comparisons of two computational models to investigate the potential relationship between the ANS and probability judgments.

Original languageEnglish (US)
Title of host publicationProceedings of the 38th Annual Meeting of the Cognitive Science Society, CogSci 2016
EditorsAnna Papafragou, Daniel Grodner, Daniel Mirman, John C. Trueswell
PublisherThe Cognitive Science Society
Pages1008-1013
Number of pages6
ISBN (Electronic)9780991196739
StatePublished - 2016
Externally publishedYes
Event38th Annual Meeting of the Cognitive Science Society: Recognizing and Representing Events, CogSci 2016 - Philadelphia, United States
Duration: Aug 10 2016Aug 13 2016

Publication series

NameProceedings of the 38th Annual Meeting of the Cognitive Science Society, CogSci 2016

Conference

Conference38th Annual Meeting of the Cognitive Science Society: Recognizing and Representing Events, CogSci 2016
Country/TerritoryUnited States
CityPhiladelphia
Period8/10/168/13/16

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction
  • Cognitive Neuroscience

Keywords

  • Approximate Number Sense (ANS)
  • Probability
  • estimation

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