Tutorials

This section contains a variety of tutorials related to the Axelrod library.

Contents:

• New to Game Theory and/or Python
  • Installation
  • Creating Matches
  • Creating and running a simple tournament
  • Summarising tournament results
  • Visualising results
  • Moran Process
  • Human Interaction
  • Running Axelrod’s First Tournament
• Research topics
  • Noisy tournaments
  • Probabilistic Ending Tournaments
  • Spatial tournaments
  • Moran Process on Graphs
  • Approximate Moran Process
  • Morality Metrics
  • Ecological Variant
  • Fingerprinting
  • Meta-Strategies
  • Evolvable Players
• Further capabilities in the library
  • Accessing strategies
  • Classification of strategies
  • Strategy Transformers
  • Accessing tournament results
  • Reading and writing interactions from/to file
  • Parallel processing
  • Using the cache
  • Setting a random seed
  • Player information
  • Player equality
  • Using and playing different stage games
• Contributing
  • Guidelines
  • Contributing a strategy
  • Contributing to the library
  • Running tests
  • Continuous integration