Nashpy: a Python library for the computation of Nash equilibria

• Authors: Vincent Knight, James Campbell.
• Date: 2018
• Details: Journal of Open Source Software
• Preprint.
• Keywords: Nash equilibria, game theory, open source software, Python

Abstract: Game theory is the study of strategic interactions where the outcomes of choice depend on the choices of all participants. A key solution concept in the field is that of Nash Equilibrium. This solution concept corresponds to a coordinate at which no participant has any incentive to change their choice. Nashpy is a Python library for the computation of Nash equilibria in two player games.

@article{knight2018nashpy,
  title   = {{N}ashpy: a {P}ython library for the computation of {N}ash
             equilibria},
  author  = {Knight, Vincent A. and Campbell, James},
  journal = {Journal of Open Source Software},
  year    = {2018},
  doi     = {10.21105/joss.00904},
  url     = {https://doi.org/10.21105/joss.00904},
}