Markov Chain Monte Carlo with People
====================================

Markov Chain Monte Carlo with People (MCMCP) is a method for uncovering
mental representations that exploits an equivalence between a model of
human choice behavior and an element of an MCMC algorithm. This demo
replicates Experiment 3 of Sanborn, Griffiths, & Shiffrin (2010), which
applies MCMCP to four natural categories, providing estimates of the
distributions over animal shapes that people associate with giraffes,
horses, cats, and dogs.

Sanborn, A. N., Griffiths, T. L., & Shiffrin, R. M. (2010). Uncovering
mental representations with Markov chain Monte Carlo. *Cognitive
Psychology*, 60(2), 63-106.


`Download the demo <../../_static/mcmcp.zip>`__.
