Create and Run ACT-R cognitive models in the browser using pyactr.
This repository is a work in progress, and the README is not yet complete!
In this section, provide an overview of your code and describe the project in which the code was developed. Highlight the purpose, scope, and potential uses of your code. Also, consider including links to relevant publications or resources that provide additional context.
PyACT-R demo is a web application: it can be accessed using a web browser at centrefordigitalhumanities.github.io/pyactr-demo/. This version is a work in progress.
You can also run PyACT-R demo locally or host it yourself. Be aware that this is a more advanced option. See CONTRIBUTING.md for information about setting up a local server or configuring deployment.
Provide information about what PyACT-R demo can be used for. If you have written a user manual, this is the place to link it!
To get started with developing PyACT-R demo, see CONTRIBUTING.md.
This work is shared under a BSD 3-Clause licence. See LICENSE for more information.
To cite this repository, please use the metadata provided in CITATION.cff.
PyACT-R demo is developed by Research Software Lab, Centre for Digital Humanities, Utrecht University. For feedback or suggestions, feel free to create an issue on this repository, or contact the Centre for Digital Humanities.
For feedback concerning the pyactr Python package, please see the pyactr repository.