Nashpy
0.0.21
  • Tutorial: building and finding the equilibrium for a simple game
  • How to
  • Reference
  • Discussion
Nashpy
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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
  • Reference
    • Support enumeration
    • Vertex enumeration
    • The Lemke Howson Algorithm
    • Degenerate games
    • Fictitious play
    • Stochastic fictitious play
    • 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

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© Copyright 2021, Vincent Knight

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