A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
UC Merced Proceedings of the Annual Meeting of the Cognitive Science Society Title Identifying representations of categories of discrete items using Markov chain Monte Carlo with People Permalink Publication Date Identifying representations of categories of discrete items using Markov chain Monte Carlo with People
2012
Proceedings of the Annual Meeting of the Cognitive Science Society
unpublished
Preserved Fulltext
Identifying the structure of mental representations is a basic problem for cognitive science. We present a method for identifying people'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
fatcat:cxlprtfk5rfevoaecd6tyc3qru