PyBNEq - A Tool for Computing Bayes-Nash Equilibria

Iulian Joldeş, Bazil Pârv, Ilie Parpucea, Vasile Lupşe


This paper describes PyBNEq - a tool for computing Bayes-Nash equilibria for games of incomplete information. It is implemented in Python and has a graphical user interface, allowing the user to load/save/edit game data, and to find Bayes-Nash equilibria. Currently, PyBNEq implements Porter-Nudelman-Shoham algorithm for 2-player games and can be considered as a decision support system for solving games of incomplete information.


Bayes-Nash equilibrium, decision support systems, game with incomplete information

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