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 most basic cases of ACT-R modeling. The only standard piece common in ACT-R modeling that is currently missing is production compilation. Furthermore, vision and motor modules are significantly simplified compared to the implementation of ACT-R in Lisp.
This is an early release of the package. Significant, radical changes might occur in the near future.
Run python setup.py install (or python setup.py develop). Or put the subfolder pyactr/ in your Python path.
Requires Python3 (>=3.3), numpy, simpy and pyparsing.
The folder docs/ discusses inner workings of pyactr, and presents several examples as to how ACT-R cognitive models should be written in pyactr. The folder tutorials/ has tutorial models taken from Lisp ACT-R. The folder examples_environment/ presents a few examples of environments that interact with ACT-R.
To ensure that modifications do not break the code, run unittests in pyactr/tests/.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|File Name & Hash SHA256 Hash Help||Version||File Type||Upload Date|
(23.9 kB) Copy SHA256 Hash SHA256
|py3||Wheel||Sep 29, 2016|
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|–||Source||Sep 29, 2016|