ALIAS 0.1

• About

• Installation

• Dependencies

• Testing

• Example

• References

About

ALIAS is a Python library for creating and manipulating Abstract Argumentation Frameworks (AAF). ALIAS 0.1 supports reading in and out from a variety of formats including databases and supports the evaluation of Argumentation Frameworks using Dung's [1] Abstract Argumentation Semantics.

Installation

Grab the source from githhub and install from the resulting tree:

$ git clone https://github.com/alias-org/alias.git
$ cd /alias
$ python setup.py install

Dependencies

There are no mandatory dependencies for ALIAS, however for additional functionality some are required. These additional dependencies are listed below:

• Input/Output[inout]
  1. pyparsing - For file input and output.
  2. networkx - For conversion to and from NetworkX graphs and for output using matplotlib.
• Databases[db]
  1. sqlalchemy - For interaction with SQL based database input and output.
  2. py2neo - For interaction with neo4j graph databases.
• Testing
  1. nose - Nose testing suite.

Testing

Unit testing requires nose (run from the alias package root): $ nosetests alias

Example

To create a blank AAF:

import alias
framework = alias.ArgumentationFramework('Example')

Add some arguments: framework.add_argument(['a','b'])

And an attack: framework.add_attack(('a','b'))

References

[1] Phan Minh Dung, On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming and n-person games, Artificial Intelligence, Volume 77, Issue 2, September 1995, Pages 321-357