srikanth635 / prac

Probabilistic Action Cores (PRAC) - Natural-language Understanding for Technical Cognitive Systems

PRAC -- Probabilistic Robot Action Cores

Knowledge about actions and objects is represented as Probabilistic Robot Action Cores (PRAC), which can be thought of as generic event patterns that enable a robot to infer important information that is missing in an original natural-language instruction. PRAC models are represented in Markov Logic Networks, a powerful knowlegde represenation formalism combining first-order logic and probability theory.

• Project Page: http://www.actioncores.org
• Lead developer: Daniel Nyga ([email protected])
• Contributors: Mareike Picklum ([email protected])

Release notes

• Version 1.0.0 (19.12.2017)
  • Release: Initial release

Documentation

PRAC comes with its own sphinx-based documentation. To build it, conduct the following actions:

$ cd path/to/prac/doc
$ make html

If you have installed Sphinx, the documentation should be build. Open it in your favorite web browser:

$ firefox _build/html/index.html

Sphinx can be installed with

$ sudo pip install sphinx sphinxcontrib-bibtex