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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.

Significant, radical changes might still occur in the near future.

Installing pyactr

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

Requirements

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

Documentation is on https://github.com/jakdot/pyactr. In particular, check:

  1. the folder docs for discussion of ACT-R and pyactr. Examples are geared towards (psycho)linguists, but discussion on models should be accessible to anyone.
  2. the folder tutorials for many examples of ACT-R models. Most of those models are translated from Lisp ACT-R, so if you are familiar with that it should be easy to understand these.

Modifying pyactr

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

Release History

Release History

0.1.6

This version

History Node

TODO: Figure out how to actually get changelog content.

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0.1.5

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0.1.4

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0.1.3

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Changelog content for this version goes here.

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0.1.2

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0.1.2.dev1

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
pyactr-0.1.6-py3-none-any.whl (33.8 kB) Copy SHA256 Checksum SHA256 py3 Wheel Nov 29, 2016
pyactr-0.1.6.tar.gz (878.2 kB) Copy SHA256 Checksum SHA256 Source Nov 29, 2016

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