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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.
Overview
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