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. © 2006-2013 by CCC Publications.
CITATION STYLE
Joldeş, I., Pârv, B., Parpucea, I., & Lupşe, V. (2013). PyBNEq - A tool for computing Bayes-Nash equilibria. International Journal of Computers, Communications and Control, 8(4), 571–577. https://doi.org/10.15837/ijccc.2013.4.578
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