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G

Game - class utilities.Game.
Holds a standard two player game.
Game(boolean) - Constructor for class utilities.Game
Returns a game object.
Game(boolean, MersenneTwister) - Constructor for class utilities.Game
Returns a game object.
Game(int[][], boolean) - Constructor for class utilities.Game
Returns a game object.
Game(int[][], boolean, MersenneTwister) - Constructor for class utilities.Game
Returns a game object.
Game(int[][], boolean, MersenneTwister, boolean) - Constructor for class utilities.Game
Returns a game object
getAgreement(int, int) - Method in class models.BiasedNetworkModel
Returns the agreement count between i and j.
getAlpha() - Method in class utilities.Individual
Gets the alpha value
getAlpha(int) - Method in class utilities.Individual
Gets the alpha value for a particular domain
getBelief(int) - Method in class utilities.Individual
Returns an agent's beliefs about a particular state in a model where the agent is only learning about one thing.
getBelief(int, int) - Method in class utilities.Individual
Returns an agent's belief about a particular state in a model where there are many things about which the agent may be learning.
getBeliefs() - Method in class utilities.Individual
Returns an agent's beliefs.
getBeta() - Method in class learningRules.SmoothReinforcement
Returns the value of beta.
getBeta() - Method in class utilities.Individual
Gets the beta value
getBeta(int) - Method in class utilities.Individual
Gets the beta value for a particular domain
getConnected() - Method in class utilities.Individual
Returns the individuals neighbors
getConnectionRule() - Method in class utilities.Individual
Returns the connection rule
getConnectProb() - Method in class models.RandomNetworkModel
Gets the connection probability
getConstraint() - Method in class utilities.Individual
Returns the constraints on generating new beliefs in a one domain model
getConstraint(int) - Method in class utilities.Individual
Returns the constraints on generating new beliefs for a particular domain.
getDelta() - Method in class learningRules.SmoothReinforcement
Returns the value of delta.
getDescrip() - Method in class utilities.Jobs
Returns the description of the job
getDiscount() - Method in class utilities.Individual
Returns the discount factor
getDomainWeights(int) - Method in class utilities.Individual
Returns the full set of weights for a particular domain
getE() - Method in class models.HybridModel
 
getExpectedPayoff(int) - Method in class utilities.Game
Returns the expected payoff of strategy r against strategy 0.
getExpectedPayoff(int, int) - Method in class utilities.Game
Returns the expected payoff of strategy r against strategy c.
getGame() - Method in class models.SingleDPL
Returns the value of game.
getGame() - Method in class models.RandomNetworkModel
Returns the value of game.
getGame() - Method in class models.PayoffLearningModel
Returns the value of game.
getGame() - Method in class models.BiasedNetworkModel
Returns the value of game.
getGame() - Method in class utilities.Individual
Returns the game
getGames() - Method in class models.StandardModel
Returns the games for StandardModel
getGames() - Method in class models.SingleBGM
Returns the games for the BgModel
getGames() - Method in class models.HybridModel
Returns the games for the BgModel
getGames() - Method in class models.BgModel
Returns the games for the BgModel
getHighestPayoff() - Method in class utilities.Game
Tells you the highest possible value that will be returned.
getId() - Method in class utilities.Individual
Returns an the individuals id number
getIndivids() - Method in class models.SingleDPL
Returns the value of indivis.
getIndivids() - Method in class models.RandomNetworkModel
Returns the value of indivis.
getIndivids() - Method in class models.PayoffLearningModel
Returns the value of indivis.
getIndivids() - Method in class models.BiasedNetworkModel
Returns the value of indivis.
getIndividual() - Method in class models.SingleBGM
Returns the set of individuals for the model.
getIndividuals() - Method in class models.StandardModel
Returns the set of individuals for the model.
getIndividuals() - Method in class models.SimpleCondorcetModel
Returns the set of individuals for the model.
getIndividuals() - Method in class models.HybridModel
Returns the set of individuals for the model.
getIndividuals() - Method in class models.BgModel
Returns the set of individuals for the model.
getJobID() - Method in class utilities.Jobs
Returns the job id number
getLastPayoff() - Method in class utilities.Individual
Returns the payoff from the last round
getLastStrat() - Method in class utilities.Individual
This returns the strategy used on the last round
getLearningRule() - Method in class utilities.Individual
Returns the learning rule
getMatrix() - Method in class utilities.Jobs
Returns the adjacency matrix
getMatrix() - Method in class utilities.Game
Gets the payoff matrix
getMaxalpha() - Method in class utilities.Individual
Returns the value of maxalpha used to contrain the reseting of alpha.
getMaxbeta() - Method in class utilities.Individual
Returns the value of maxbeta.
getMaximumProb() - Method in class models.BiasedNetworkModel
Gets the connection probability
getMaxWeight() - Method in class utilities.Individual
Gets the maxWeight
getMinimumProb() - Method in class models.BiasedNetworkModel
Gets the connection probability
getMutation() - Method in class utilities.Individual
Calls the mutationRules get function.
getMutationRate() - Method in class mutationRules.NoMutate
Returns 0.0
getMutationRate() - Method in interface mutationRules.MutationRule
 
getMutationRate() - Method in class mutationRules.MutateStrategy
Because there is no single mutation rate this is undefined.
getMutationRate() - Method in class mutationRules.MutateBeliefs
 
getMutationRule() - Method in class utilities.Individual
 
getNeighDiscount() - Method in class connectionRules.NeighborReinforce
Returns the neighbor discount rate.
getNetwork() - Method in class utilities.Individual
Returns the network (all other individuals in the model).
getNormPayoff(int) - Method in class utilities.Game
Returnes a normalized payoff as a double between 0 and 1 of r played against strategy 0.
getNormPayoff(int, int) - Method in class utilities.Game
Returnes a normalized payoff as a double between 0 and 1 of r played against strategy c.
getPayoff() - Method in class utilities.Individual
Returns the payoff from the last round
getPayoff(int) - Method in class utilities.Game
Returns the payoff for strategy r against strategy 0, only usefully for non-strategic games.
getPayoff(int, int) - Method in class utilities.Game
Returns the payoff for strategy r against strategy c.
getProb(int, int) - Method in class utilities.Game
Tells you the probabiliy of receiving a particular payoff given that the player played strategy r against strategy 0.
getProb(int, int, int) - Method in class utilities.Game
Tells you the probability of receiving a particular payoff given that the player played strategy r against c.
getRandom() - Method in class models.StandardModel
Returns the random number generator for the model.
getRandom() - Method in class models.SingleBGM
Returns the random number generator for the model.
getRandom() - Method in class models.SimpleCondorcetModel
Returns the random number generator for the model.
getRandom() - Method in class models.HybridModel
Returns the random number generator for the model.
getRandom() - Method in class models.BgModel
Returns the random number generator for the model.
getRandom() - Method in class utilities.Individual
Returns the random number generator
getRandom() - Method in class utilities.Game
Returns the random number generator used
getStochastic() - Method in class utilities.Game
A function to determine if the game is stochastic.
getStrat() - Method in class utilities.Individual
Returns the current strategy, if its not set chooses one.
getStrats() - Method in class utilities.Game
Tells you the number of strategies
getTotalPlayed() - Method in class models.BiasedNetworkModel
Returns the value of totalPlayed.
getWeights() - Method in class utilities.Individual
Returns the current weights.
getWeights(int) - Method in class utilities.Individual
Returns the weights for a current strategy
getWeights(int, int) - Method in class utilities.Individual
Returns the weights for a current strategy
GraphIO - class utilities.GraphIO.
A class for importing and exporting graph object into Individuals
GraphIO() - Constructor for class utilities.GraphIO
 

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