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C

calculateEfficiency() - Method in class models.SignalingGame
 
chooseStrat() - Method in class utilities.Individual
Uses the learning rule to choose a strategy
clear() - Method in class models.SignalingGame
 
clearConnected() - Method in class utilities.Individual
Clears the list of neighbors.
clearDomainWeights(int) - Method in class utilities.Individual
A function that will clear the weights in only one domain, but leave the others intact
clearStratWeights() - Method in class utilities.Individual
A function to reset all strategy weights to 1.0.
clearStratWeights(int) - Method in class utilities.Individual
A function to reset all strategy weights to 1.0.
clearStratWeights(int, int) - Method in class utilities.Individual
A function to reset all stategy weights to 1.0.
colorMap() - Method in class utilities.NeuQuant
 
CondorcetLearning - class learningRules.CondorcetLearning.
This class is a Condorcet Learning Rule.
CondorcetLearning() - Constructor for class learningRules.CondorcetLearning
A constructor which automatically sets the number of strats at 2
CondorcetLearning(int) - Constructor for class learningRules.CondorcetLearning
A constructor which sets the number of strats
ConnectionRule - interface connectionRules.ConnectionRule.
An interface for the rule that players use to determine how to modify their connections
connectionRules - package connectionRules
 
ConnectNothing - class connectionRules.ConnectNothing.
This is a connection rule that does nothing
ConnectNothing() - Constructor for class connectionRules.ConnectNothing
 
countTruth() - Method in class models.SimpleCondorcetModel
Returns the count of individuals who believe the truth (strategy 0).
createPlayers(Individual[], MutationRule, LearningRule, ConnectionRule) - Method in class models.SimpleCondorcetModel
Sets up the individuals
createPlayersHigh(Individual[], int) - Method in class models.StandardModel
Forms a new network of specified size; expects random to be set.
createPlayersHigh(Individual[], int) - Method in class models.HybridModel
Forms a new network of specified size; expects random to be set.
createPlayersHigh(Individual[], int) - Method in class models.BgModel
Forms a new network of specified size; expects random to be set.
createPlayersHigh(Individual[], int, ConnectionRule, LearningRule, double, double) - Method in class models.StandardModel
Forms a new network of specified size; expects random to be set.
createPlayersHigh(Individual[], int, ConnectionRule, LearningRule, double, double) - Method in class models.HybridModel
Forms a new network of specified size; expects random to be set.
createPlayersHigh(Individual[], int, ConnectionRule, LearningRule, double, double) - Method in class models.BgModel
Forms a new network of specified size; expects random to be set.
createPlayersHigh(Individual[], int, ConnectionRule, LearningRule, Game, double, double) - Method in class models.StandardModel
Forms a new network of specified size; expects random to be set.
createPlayersHigh(Individual[], int, ConnectionRule, LearningRule, Game, double, double) - Method in class models.HybridModel
Forms a new network of specified size; expects random to be set.
createPlayersHigh(Individual[], int, ConnectionRule, LearningRule, Game, double, double) - Method in class models.BgModel
Forms a new network of specified size; expects random to be set.
createPlayersLow(Individual[]) - Method in class models.StandardModel
Forms a new network of specified size; doesn't expect much to be set.
createPlayersLow(Individual[]) - Method in class models.HybridModel
Forms a new network of specified size; doesn't expect much to be set.
createPlayersLow(Individual[]) - Method in class models.BgModel
Forms a new network of specified size; doesn't expect much to be set.

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