Detailed table of contents

• An overview of Gambit
  • What is Gambit?
  • A brief history of Gambit
  • Key features of Gambit
  • Limitations of Gambit
  • Developers
  • Downloading Gambit
  • Bug reports
• Command-line tools
  • gambit-enumpure: Enumerate pure-strategy equilibria of a game
  • gambit-enummixed: Enumerate equilibria in a two-player game
  • gambit-lcp: Compute equilibria in a two-player game via linear complementarity
  • gambit-lp: Compute equilibria in a two-player constant-sum game via linear programming
  • gambit-liap: Compute Nash equilibria using function minimization
  • gambit-simpdiv: Compute equilibria via simplicial subdivision
  • gambit-logit: Compute quantal response equilbria
  • gambit-gnm: Compute Nash equilibria in a strategic game using a global Newton method
  • gambit-ipa: Compute Nash equilibria in a strategic game using iterated polymatrix approximation
  • gambit-convert: Convert games among various representations
• pygambit Python package
  • User guide
    • Example: One-shot trust game with binary actions
    • Example: A one-card poker game with private information
    • Building a strategic game
    • Representation of numerical data of a game
    • Reading a game from a file
    • Computing Nash equilibria
  • API documentation
    • Representation of games
    • Representation of strategic behavior
    • Computation on supports
    • Computation of Nash equilibria
    • Computation of quantal response equilibria
• The graphical interface
  • General concepts
    • General layout of the main window
    • Payoffs and probabilities in Gambit
    • A word about file formats
  • Extensive games
    • Creating a new extensive game
    • Adding moves
    • Copying and moving subtrees
    • Removing parts of a game tree
    • Managing information sets
    • Outcomes and payoffs
    • Formatting and labeling the tree
  • Strategic games
    • Navigating a strategic game
    • Adding players and strategies
    • Editing payoffs
  • Investigating dominated strategies and actions
    • Dominated actions in extensive game
    • Dominated strategies in strategic games
  • Computing Nash equilibria
    • Selecting the method of computing equilibria
    • Viewing computed profiles in the game
    • Computing quantal response equilibria
    • Quantal response equilibria in strategic games (experimental)
  • Printing and exporting games
    • Printing a game
    • Saving to a graphics file
• Sample games
• For developers: Building Gambit from source
  • General information
  • Building from git repository
  • For Windows users
  • For OS X users
  • The graphical interface and wxWidgets
  • Building the Python extension
• Game representation formats
  • Conventions common to all file formats
    • The extensive game (.efg) file format
    • The strategic game (.nfg) file format, payoff version
    • The strategic game (.nfg) file format, outcome version
    • The action graph game (.agg) file format
    • The Bayesian action graph game (.bagg) format
• Bibliography
  • Articles on computation of Nash equilibria
  • General game theory articles and texts
  • Textbooks and general reference