def steels_basic_experiment_GG(inc_category_treshold=0.95, classifier=None,
environments=None, interaction_type="GG", beta=1., context_size=4,
agents=None, dump_freq=50, alpha=0.1, sigma=1., num_iter=1000,
topology=None):
environments = def_value(environments, {})
classifier, classif_arg = SteelsClassifier, []
#agents = [Agent(SteelsAgentStateWithLexicon(classifier()), SimpleSensor())\
# FIX THIS !!
classif_arg = def_value(classif_arg, [])
for agent in agents:
agent.set_state(SteelsAgentStateWithLexicon(classifier(*classif_arg)))
agent.set_sensor(SimpleSensor())
agent.set_fitness_measure("DG", metrics.get_DS_fitness())
agent.set_fitness_measure("GG", metrics.get_CS_fitness())
AdaptiveNetwork.def_alpha = float(alpha)
AdaptiveNetwork.def_beta = float(beta)
ReactiveUnit.def_sigma = float(sigma)
DiscriminationGame.def_inc_category_treshold = float(inc_category_treshold)
return steels_uniwersal_basic_experiment(num_iter, agents, environments,
GuessingGame(None, context_size), topology = topology,
dump_freq = dump_freq)
def steels_basic_experiment_DG(inc_category_treshold=0.95,
classifier=None,
environments=None,
interaction_type="DG",
beta=1.,
context_size=4,
agents=None,
dump_freq=50,
alpha=0.1,
sigma=1.,
num_iter=1000,
topology=None,
stimuli=None):
environments = def_value(environments, {})
classifier, classif_arg = SteelsClassifier, []
# FIX THIS !!
for agent in agents:
agent.set_state(SteelsAgentState(classifier(*classif_arg)))
agent.set_sensor(SimpleSensor())
agent.set_fitness_measure("DG", metrics.get_DS_fitness())
AdaptiveNetwork.def_alpha = float(alpha)
AdaptiveNetwork.def_beta = float(beta)
ReactiveUnit.def_sigma = float(sigma)
DiscriminationGame.def_inc_category_treshold = float(inc_category_treshold)
return steels_uniwersal_basic_experiment(num_iter,
agents,
environments,
DiscriminationGame(context_size),
topology=topology,
dump_freq=dump_freq,
stimuli=stimuli)
def steels_basic_experiment_DG(inc_category_treshold=0.95, classifier=None,
interaction_type="DG", beta=1., context_size=4, stimuli=None,
agents=None, dump_freq=50, alpha=0.1, sigma=1., num_iter=1000,
topology=None):
classifier, classif_arg = SteelsClassifier, []
# FIX THIS !!
for agent in agents:
agent.set_state(SteelsAgentState(classifier(*classif_arg)))
agent.set_sensor(SimpleSensor())
agent.set_fitness_measure("DG", metrics.get_DS_fitness())
AdaptiveNetwork.def_alpha = float(alpha)
AdaptiveNetwork.def_beta = float(beta)
ReactiveUnit.def_sigma = float(sigma)
DiscriminationGame.def_inc_category_treshold = float(inc_category_treshold)
return steels_uniwersal_basic_experiment(num_iter, agents,
DiscriminationGame(context_size), topology=topology,
dump_freq=dump_freq, stimuli=stimuli)
