@inproceedings{c35e50412a714c82bff252aca1473edd,
title = "Identifying representations of categories of discrete items using Markov chain Monte Carlo with People",
abstract = "Identifying the structure of mental representations is a basic problem for cognitive science. We present a method for identifying people{\textquoteright}s representations of categories that are defined over a set of discrete items, such as a collection of images. This method builds on previous work using Markov chain Monte Carlo algorithms as the basis for designing behavioral experiments, and we thus call it discrete Markov chain Monte Carlo with People (d-MCMCP). We illustrate how this approach can be used to identify the structure of visual categories using real images drawn from large databases.",
keywords = "category representation, image databases, Markov chain Monte Carlo",
author = "Hsu, {Anne S.} and Martin, {Jay B.} and Sanborn, {Adam N.} and Griffiths, {Thomas L.}",
note = "Funding Information: Acknowledgments. This work was supported by grant number IIS-0845410 from the National Science Foundation. Publisher Copyright: {\textcopyright} CogSci 2012.All rights reserved.; 34th Annual Meeting of the Cognitive Science Society: Building Bridges Across Cognitive Sciences Around the World, CogSci 2012 ; Conference date: 01-08-2012 Through 04-08-2012",
year = "2012",
language = "English (US)",
series = "Building Bridges Across Cognitive Sciences Around the World - Proceedings of the 34th Annual Meeting of the Cognitive Science Society, CogSci 2012",
publisher = "The Cognitive Science Society",
pages = "485--490",
editor = "Naomi Miyake and David Peebles and Cooper, {Richard P.}",
booktitle = "Building Bridges Across Cognitive Sciences Around the World - Proceedings of the 34th Annual Meeting of the Cognitive Science Society, CogSci 2012",
}