ludics
  • Home

Tutorials

  • Analyse a Public Goods Game

How-To Guides

  • Install
  • Choose a fitness function
  • Define a fitness function
  • Choose an evolutionary dynamic
  • Assemble the underlying Markov chain
  • Compute absorption probabilities for absorbing processes
  • Compute the stationary distribution of ergodic processes
  • Increase the precision of the approximate stationary distribution
  • Simulate dynamics for large populations
  • Compare evolutionary dynamics on a Public Goods Game
  • Model heterogeneous contributions for the Public Goods Game
  • Use symbolic payoffs for a 2-player game

Reference

  • List of functionality
    • ludics.main
      • Build a Markov chain
      • Analyse a Markov chain
      • Population dynamics
      • Additional Functionality
    • ludics.fitness_functions
      • Public goods games
      • Symbolic fitness functions
  • Bibliography

Explanation

  • How states are represented
  • Evolutionary games and Markov chains
  • Population dynamics
  • Public Goods Games
ludics
  • Reference
  • List of functionality

List of functionality

Below is a list of functionality included in ludics


ludics.main


Build a Markov chain

  • get_state_space
  • generate_transition_matrix

Analyse a Markov chain

  • compute_absorption_matrix
  • calculate_absorption_matrix
  • compute_steady_state
  • calculate_steady_state
  • simulate_markov_chain

Population dynamics

  • compute_moran_transition_probability
  • compute_fermi_transition_probability
  • compute_introspection_transition_probability
  • compute_aspiration_transition_probability

Additional Functionality

  • fermi_imitation_function
  • apply_mutation_probability
  • get_absorbing_state_index
  • get_absorbing_states
  • extract_Q
  • extract_R_numerical
  • extract_R_symbolic
  • get_neighbourhood_states

ludics.fitness_functions


Public goods games

  • homogeneous_pgg_fitness_function
  • heterogeneous_contribution_pgg_fitness_function

Symbolic fitness functions

  • general_four_state_fitness_function
Previous Next

Built with MkDocs using a theme provided by Read the Docs.
« Previous Next »