@inproceedings{4f38f2cb591d46448365b2c1d449e044,
title = "Do Simple Probability Judgments Rely on Integer Approximation?",
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.",
keywords = "Approximate Number Sense (ANS), Probability, estimation",
author = "Shaun O'Grady and Griffiths, {Thomas L.} and Fei Xu",
note = "Publisher Copyright: {\textcopyright} 2016 Proceedings of the 38th Annual Meeting of the Cognitive Science Society, CogSci 2016. All rights reserved.; 38th Annual Meeting of the Cognitive Science Society: Recognizing and Representing Events, CogSci 2016 ; Conference date: 10-08-2016 Through 13-08-2016",
year = "2016",
language = "English (US)",
series = "Proceedings of the 38th Annual Meeting of the Cognitive Science Society, CogSci 2016",
publisher = "The Cognitive Science Society",
pages = "1008--1013",
editor = "Anna Papafragou and Daniel Grodner and Daniel Mirman and Trueswell, {John C.}",
booktitle = "Proceedings of the 38th Annual Meeting of the Cognitive Science Society, CogSci 2016",
}