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ACT-R in Python

Project Description

pyactr

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.

Installing pyactr

Run python setup.py install (or python setup.py develop). Or put the subfolder pyactr/ in your Python path.

Requirements

Requires Python3 (>=3.3), numpy, simpy and pyparsing.

Documentation

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.

Modifying pyactr

To ensure that modifications do not break the code, run unittests in pyactr/tests/.

Release History

Release History

This version
History Node

0.1.2

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
pyactr-0.1.2-py3-none-any.whl (23.9 kB) Copy SHA256 Checksum SHA256 py3 Wheel Sep 29, 2016
pyactr-0.1.2.tar.gz (659.3 kB) Copy SHA256 Checksum SHA256 Source Sep 29, 2016

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