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Code Issues Releases Wiki Activity

Settings models

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This commit is contained in:
Tasio Mendez
2017-04-24 12:55:00 +02:00
parent 391ce5e9e0
commit aaf5f709f1
9 changed files with 125 additions and 118 deletions
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31
models/ModelM2/ControlModelM2.py
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@@ -24,8 +24,8 @@ class ControlModelM2(BaseBehaviour):
"""
# Init infected
init_states[random.randint(0, settings.number_of_nodes-1)] = {'id':1}
init_states[random.randint(0, settings.number_of_nodes-1)] = {'id':1}
init_states[random.randint(0, settings.number_of_nodes-1)] = {'id': 1}
init_states[random.randint(0, settings.number_of_nodes-1)] = {'id': 1}
# Init beacons
init_states[random.randint(0, settings.number_of_nodes-1)] = {'id': 4}
@@ -34,22 +34,23 @@ class ControlModelM2(BaseBehaviour):
def __init__(self, environment=None, agent_id=0, state=()):
super().__init__(environment=environment, agent_id=agent_id, state=state)
self.prob_neutral_making_denier = np.random.normal(environment.prob_neutral_making_denier,
environment.standard_variance)
self.prob_neutral_making_denier = np.random.normal(environment.environment_params['prob_neutral_making_denier'],
environment.environment_params['standard_variance'])
self.prob_infect = np.random.normal(environment.prob_infect, environment.standard_variance)
self.prob_infect = np.random.normal(environment.environment_params['prob_infect'],
environment.environment_params['standard_variance'])
self.prob_cured_healing_infected = np.random.normal(environment.prob_cured_healing_infected,
environment.standard_variance)
self.prob_cured_vaccinate_neutral = np.random.normal(environment.prob_cured_vaccinate_neutral,
environment.standard_variance)
self.prob_cured_healing_infected = np.random.normal(environment.environment_params['prob_cured_healing_infected'],
environment.environment_params['standard_variance'])
self.prob_cured_vaccinate_neutral = np.random.normal(environment.environment_params['prob_cured_vaccinate_neutral'],
environment.environment_params['standard_variance'])
self.prob_vaccinated_healing_infected = np.random.normal(environment.prob_vaccinated_healing_infected,
environment.standard_variance)
self.prob_vaccinated_vaccinate_neutral = np.random.normal(environment.prob_vaccinated_vaccinate_neutral,
environment.standard_variance)
self.prob_generate_anti_rumor = np.random.normal(environment.prob_generate_anti_rumor,
environment.standard_variance)
self.prob_vaccinated_healing_infected = np.random.normal(environment.environment_params['prob_vaccinated_healing_infected'],
environment.environment_params['standard_variance'])
self.prob_vaccinated_vaccinate_neutral = np.random.normal(environment.environment_params['prob_vaccinated_vaccinate_neutral'],
environment.environment_params['standard_variance'])
self.prob_generate_anti_rumor = np.random.normal(environment.environment_params['prob_generate_anti_rumor'],
environment.environment_params['standard_variance'])
def step(self, now):

27
models/ModelM2/SpreadModelM2.py
View File

@@ -29,22 +29,23 @@ class SpreadModelM2(BaseBehaviour):
def __init__(self, environment=None, agent_id=0, state=()):
super().__init__(environment=environment, agent_id=agent_id, state=state)
self.prob_neutral_making_denier = np.random.normal(environment.prob_neutral_making_denier,
environment.standard_variance)
self.prob_neutral_making_denier = np.random.normal(environment.environment_params['prob_neutral_making_denier'],
environment.environment_params['standard_variance'])
self.prob_infect = np.random.normal(environment.prob_infect, environment.standard_variance)
self.prob_infect = np.random.normal(environment.environment_params['prob_infect'],
environment.environment_params['standard_variance'])
self.prob_cured_healing_infected = np.random.normal(environment.prob_cured_healing_infected,
environment.standard_variance)
self.prob_cured_vaccinate_neutral = np.random.normal(environment.prob_cured_vaccinate_neutral,
environment.standard_variance)
self.prob_cured_healing_infected = np.random.normal(environment.environment_params['prob_cured_healing_infected'],
environment.environment_params['standard_variance'])
self.prob_cured_vaccinate_neutral = np.random.normal(environment.environment_params['prob_cured_vaccinate_neutral'],
environment.environment_params['standard_variance'])
self.prob_vaccinated_healing_infected = np.random.normal(environment.prob_vaccinated_healing_infected,
environment.standard_variance)
self.prob_vaccinated_vaccinate_neutral = np.random.normal(environment.prob_vaccinated_vaccinate_neutral,
environment.standard_variance)
self.prob_generate_anti_rumor = np.random.normal(environment.prob_generate_anti_rumor,
environment.standard_variance)
self.prob_vaccinated_healing_infected = np.random.normal(environment.environment_params['prob_vaccinated_healing_infected'],
environment.environment_params['standard_variance'])
self.prob_vaccinated_vaccinate_neutral = np.random.normal(environment.environment_params['prob_vaccinated_vaccinate_neutral'],
environment.environment_params['standard_variance'])
self.prob_generate_anti_rumor = np.random.normal(environment.environment_params['prob_generate_anti_rumor'],
environment.environment_params['standard_variance'])
def step(self, now):