ccobra 0.0.1

The CCOBRA framework.

Cognitive COmputation for Behavioral Reasoning Analysis (CCOBRA) Framework

Dependencies

• Python 3
• Numpy
• Pandas

Installation

CCOBRA requires you to install the core modules. This is done by running the following commands:

$> cd /path/to/repository/
$> python setup.py develop|install [--user]

Uninstallation

$> cd /path/to/repository
$> python setup.py develop [--user] --uninstall

First Steps

Executing the Examples

Examples for common reasoning domains can be found in examples/. To start the example analyses, run the corresponding start.py scripts. The following commands run the syllogistic example:

$> cd /path/to/repository/examples/syllogism
$> python start.py

Implementing Custom Models

Custom models can be implemented by defining classes based on CCOBRAModel interfaces. The following snippet contains the skeleton snippet for a simple syllogistic model always returning the NVC response:

import ccobra

class MyModel(ccobra.syllogistic.SylModel):
    """ Simple static model for syllogistic reasoning always responding with
    NVC.

    """

    def __init__(self, name='MyModel'):
        """ Model constructor. Initializes internal state of the model.

        Parameters
        ----------
        name : str, optional
            Name for the model.

        """

        super(MyModel, self).__init__(name)

    def predict(self, task, **kwargs):
        """ Method for computing predictions of the model.

        Parameters
        ----------
        task : str
            Variable for the syllogism (e.g., AA1).
        kwargs : dict
            Collects additional information from the data

        """

        return 'NVC'