ACT-R in Python
Python package to create and run ACT-R cognitive models.
The package supports symbolic and subsymbolic processes in ACT-R and it covers all basic cases of ACT-R modeling, including features that are not often implemented outside of the official Lisp ACT-R software.
The package should allow you to run any ACT-R model. If you need an ACT-R feature that’s missing in the package, please let me know.
Significant changes might still occur in the near future.
The best way to install this is to run pip:
pip3 install pyactr
You can also clone this package and in the root folder, run:
python setup.py install
Requires Python3 (>=3.3), numpy, simpy and pyparsing.
You might also consider getting tkinter if you want to see visual output on how ACT-R models interact with environment. But this is not necessary to run any models.
Documentation is on https://github.com/jakdot/pyactr. In particular, check:
To ensure that modifications do not break the current code, run unittests in pyactr/tests/.
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|File Name & Checksum SHA256 Checksum Help||Version||File Type||Upload Date|
|pyactr-0.2.0-py3-none-any.whl (101.7 kB) Copy SHA256 Checksum SHA256||py3||Wheel||May 18, 2017|
|pyactr-0.2.0.tar.gz (537.8 kB) Copy SHA256 Checksum SHA256||–||Source||May 18, 2017|