Welcome to Nashpy’s documentation!

This is a Python library used for the computation of equilibria in 2 player strategic form games.

This is a library with simple dependencies (it only requires numpy and scipy) so that it is pip installable.

• Tutorial: building and finding the equilibrium for a simple game
  • Introduction to game theory
  • Installing Nashpy
  • Creating a game
  • Calculating the utility of a pair of strategies
  • Computing Nash equilibria
  • Learning in games
• How to
  • Install Nashpy
  • Create a game
  • Calculate utilities
  • Solve with support enumeration
  • Solve with vertex enumeration
  • Solve with Lemke Howson
  • Use fictitious play
  • Use stochastic fictitious play
  • Use replicator dynamics
  • Use asymmetric replicator dynamics
• Reference
  • Support enumeration
  • Vertex enumeration
  • The Lemke Howson Algorithm
  • Degenerate games
  • Fictitious play
  • Stochastic fictitious play
  • Replicator dynamics
  • Asymmetric replicator dynamics
  • Bibliography
  • Source files
• Discussion
  • John Nash
  • How does Nashpy relate to Gambit
  • Other Python Game theory libraries

Indices and tables

• Index

• Module Index

• Search Page