Nashpy
v0.0.26
  • Tutorial: building and finding the equilibrium for a game
  • How to
  • Discussion
  • Reference
  • Contributor documentation
  • Indices and tables
Nashpy
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  • Welcome to Nashpy’s documentation!
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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.

  • Tutorial: building and finding the equilibrium for a 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 Normal Form Game
    • Calculate utilities
    • Check if a strategy is a best response
    • 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
    • Use Moran processes
  • Discussion
    • Normal Form Games
    • Strategies
    • Best responses
    • Support enumeration
    • Vertex enumeration
    • Extensive Form Games
    • The Lemke Howson Algorithm
    • Degenerate games
    • Fictitious play
    • Stochastic fictitious play
    • Replicator dynamics
    • Asymmetric replicator dynamics
  • Reference
    • John Nash
    • How does Nashpy relate to Gambit
    • Other Python Game theory libraries
    • Bibliography
    • Source files
  • Contributor documentation
    • Tutorial: make a contribution to the documentation
    • How to
    • Discussion
    • Reference
  • Indices and tables

Indices and tables¶

  • Index

  • Module Index

  • Search Page

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© Copyright 2017, Vincent Knight. Revision d48d075b.

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