References

This package (gnubg-nn) is the neural network evaluation library from the GNU Backgammon project — not the full backgammon application. It builds upon the open-source GNU Backgammon engine, its neural network design, and various community tools. The following resources provide deeper background into the theory and implementation details.

Official Documentation

• GNU Backgammon Official Site https://www.gnu.org/software/gnubg/

• GNU Backgammon Manual (HTML) https://www.gnu.org/software/gnubg/manual/gnubg.html

• All About GNU Backgammon Albert Silver and Christian Anthon https://www.bkgm.com/gnu/AllAboutGNU.html

• GNU Backgammon Source Repository https://git.savannah.gnu.org/cgit/gnubg.git

Neural Networks and AI Concepts

• TD-Gammon by Gerald Tesauro https://www.research.ibm.com/massive/tdl.html

• Learning from the Machine Bill Robertie on TD-Gammon’s impact https://www.bkgm.com/books/Robertie-LearningFromTheMachine.html

• Backgammon Neural Net Evaluation (GNUBG) The neural network evaluation code used by both the full GNUBG application and this library. Explained in the official manual and implemented in eval.c, neuralnet.c, and getinput.c.

• Match Equity Tables and Cube Handling See the “Match Equity Table” section of the GNU Backgammon manual and references therein.

Python and Project Utilities

• Sphinx (Documentation Engine) https://www.sphinx-doc.org/

• Meson Build System (used for C++ extension) https://mesonbuild.com/

• PyPI Package Repository for `gnubg-nn-pypi` (Add your package link here once published)

Licenses

• GNU Free Documentation License Included in the GNUBG Manual and available at: https://www.gnu.org/licenses/fdl.html

• GNU General Public License (GPL) https://www.gnu.org/licenses/gpl-3.0.html

—

For bug reports or improvements to the full GNU Backgammon application, visit: https://savannah.gnu.org/projects/gnubg/