As of v0.1.1 the developers and contributors are:
zsh» git shortlog -sn | cut -f1 --complement
Valentin Haenel
Rike-Benjamin Schuppner
Tiziano Zito
Zbigniew Jędrzejewski-Szmek
Bastian Venthur
Pietro Berkes
Pauli Virtanen
Nicola Chiapolini
Anna Chabuda
Christian Steigies
Francesc Alted
Ola Pidde
Sasza Kijek
Please use our project mailing list for questions and discussion. Use the GitHub issues page to report bugs.
Pelita is licensed under the terms of the Simplified (two-clause) BSD License. A copy of the license is included with the source, in the file COPYING.
For compatibility with Python 2.6, we ship a copy of the argparse module from Python 2.7. The code is stored in pelita/compat/argparse.py and is made available as pelita.compat.argparse. It’s licensed under the terms of the Python License. Copyright and history information for the module is included in the file COPYING.
To generate API documentation from the docstring we ship a copy of the numpydoc sphinx extension in doc/sphinxext/numpydoc. Numpydoc is licensed under various licenses, see the file doc/sphinxext/numpydoc/LICENSE.txt for details.
The game is inspired by the “Pac-Man Projects” developed by John DeNero and Dan Klein at Berkeley University for their artificial intelligence introductory course [DeNeroKlein].
This software was developed for the “Advanced Scientific Programming in Python” summer school, as a teaching aid for the group project.
Future:
Past:
Initial funding was kindly provided by The German Neuroinformatics Node.
| [DeNeroKlein] | John DeNero and Dan Klein. Teaching Introductory Artificial Intelligence with Pac-Man. In proceedings of the Symposium on Educational Advances in Artificial Intelligence (EAAI), 2010. pdf |