|
|||||||||||
PREV NEXT | FRAMES NO FRAMES |
Packages that use Game | |
learningRules | |
models | |
utilities |
Uses of Game in learningRules |
Constructors in learningRules with parameters of type Game | |
SmoothPayoffLearning(Game g,
double gam)
|
|
SmoothBGLearning(Game[] g,
double gam)
Initializing a BgLearning model. |
|
PayoffLearning(Game g)
|
|
MyopicBRLearning(Game g)
Constructor |
|
ImitateBestLearning(Game g)
Constructor |
|
HybridLearning(Game[] g)
|
|
BgLearning(Game[] g)
Initializing a BgLearning model. |
Uses of Game in models |
Methods in models that return Game | |
Game[] |
StandardModel.getGames()
Returns the games for StandardModel |
Game |
SingleDPL.getGame()
Returns the value of game. |
Game[] |
SingleBGM.getGames()
Returns the games for the BgModel |
Game |
RandomNetworkModel.getGame()
Returns the value of game. |
Game |
PayoffLearningModel.getGame()
Returns the value of game. |
Game[] |
HybridModel.getGames()
Returns the games for the BgModel |
Game |
BiasedNetworkModel.getGame()
Returns the value of game. |
Game[] |
BgModel.getGames()
Returns the games for the BgModel |
Methods in models with parameters of type Game | |
void |
StandardModel.setGames(Game[] g)
Sets an array of games, one for each state of the world. |
void |
StandardModel.createPlayersHigh(Individual[] inds,
int s,
ConnectionRule c,
LearningRule l,
Game g,
double m,
double z)
Forms a new network of specified size; expects random to be set. |
void |
SingleDPL.setGame(Game game)
Sets the value of game. |
void |
SingleBGM.setGames(Game[] g)
Sets an array of games, one for each state of the world. |
void |
RandomNetworkModel.setGame(Game game)
Sets the value of game. |
void |
PayoffLearningModel.setGame(Game game)
Sets the value of game. |
void |
HybridModel.setGames(Game[] g)
Sets an array of games, one for each state of the world. |
void |
HybridModel.createPlayersHigh(Individual[] inds,
int s,
ConnectionRule c,
LearningRule l,
Game g,
double m,
double z)
Forms a new network of specified size; expects random to be set. |
void |
BiasedNetworkModel.setGame(Game game)
Sets the value of game. |
void |
BgModel.setGames(Game[] g)
Sets an array of games, one for each state of the world. |
void |
BgModel.createPlayersHigh(Individual[] inds,
int s,
ConnectionRule c,
LearningRule l,
Game g,
double m,
double z)
Forms a new network of specified size; expects random to be set. |
Constructors in models with parameters of type Game | |
RandomNetworkModel(Individual[] i,
Game g,
LearningRule l,
double m,
double p)
|
|
PayoffLearningModel(Individual[] i,
Game g,
ConnectionRule c,
LearningRule l,
double m)
|
|
BiasedNetworkModel(Individual[] i,
Game g,
LearningRule l,
double m,
double min,
double max)
|
Uses of Game in utilities |
Methods in utilities that return Game | |
Game |
Individual.getGame()
Returns the game |
Methods in utilities with parameters of type Game | |
void |
Individual.setGame(Game g)
Sets the game |
|
|||||||||||
PREV NEXT | FRAMES NO FRAMES |