Class Summary |
BgModel |
This is a class that runs the BalaGoyal Model of Bayesian Learning in Networks. |
BiasedNetworkModel |
This class implements a learning in network model with biased network formation
This model uses beta-distribution learning (aka payoff learning). |
HybridModel |
This is a Hyrbid Model which involves both experimentation (as
implemented in the BGModel) and also conformist behavior (averaging
of neighbors beliefs). |
PayoffLearningModel |
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RandomNetworkModel |
This class implements a learning in network model with random network formation. |
SignalingGame |
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SimpleCondorcetModel |
The world is set in state 0, each individual is given (noisy) access to the world. |
SingleBGM |
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SingleDPL |
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SinglePlayerModel |
This class will run any of the four interesting models with any of three learning rules
but only for a single player. |
SingleSM |
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SingleSPL |
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StandardModel |
This is a class that runs the Standard Model of Bayesian Learning in Networks. |