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NYU Computation and Cognition Lab's Projects

battleship icon battleship

Code and data from information search experiments conducted at NYU Computational Cognition Lab by Doug Markant and Todd Gureckis.

cognitive_effort icon cognitive_effort

Can cognitive discovery be incentivized with money? Research project public data and analysis code.

counterbalancing icon counterbalancing

A general-purpose library for implementing counterbalancing for web-based and lab-based behavioral experiments

crowdshift icon crowdshift

App for running online experiments with OpenShift and Mechanical Turk

crumpmcdonnellgureckis2013 icon crumpmcdonnellgureckis2013

The experiments and iPython analysis notebooks for Experiments 8–10 of Crump, McDonnell, and Gureckis (2013). doi:10.1371/journal.pone.0057410

drawtogether icon drawtogether

a psiturk-compatible experiment based on the drawtogether crowdsource program by @dmarkant

duolingoslam icon duolingoslam

2018 Duolingo Shared Task on Second Language Acquisition Modeling (SLAM) (http://sharedtask.duolingo.com/)

horizonexperiments icon horizonexperiments

Code to run "mushroom-foraging" games testing people's sensitivity to the future value of information in finite-horizon and infinite-horizon settings.

learningtrap icon learningtrap

Experiment and analysis code for "Exploration, Generalization, and the Development of Learning Traps".

mturk-psiturk-workshop icon mturk-psiturk-workshop

Workshop by the NYU Computation and Cognition Lab about our framework for running behavioral experiments on Amazon's Mechanical Turk service.

nivturk icon nivturk

Tools for serving and storing data from online experiments.

omni_releases icon omni_releases

Public data and code releases from the Optimizing Memory using Neural Information (OMNI) project (http://gureckislab.org/omni)

planout icon planout

PlanOut is a library and interpreter for designing online experiments.

psiturk icon psiturk

An open platform for science on Amazon Mechanical Turk.

pypsyexp icon pypsyexp

A simple python library for developing psychology experiments.

smile icon smile

a head-meltingly happy approach to online behavioral research

sustain_python icon sustain_python

A version of the SUSTAIN model of category learning (Love, Medin, & Gureckis, 2004) implemented in Python

whoops_yall icon whoops_yall

Whoops ya'll is a psiTurk compatible experiment for paying people when an experiment goes badly for some reason. You enter the workerIds of people who you owe money to and can reject all others. Payment is handled quickly and easily via psiTurk's command line features. When you make a whoops, use "whoops ya'll"

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