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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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28
models/SISaModel/SISaModel.py
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@@ -32,20 +32,24 @@ class SISaModel(BaseBehaviour):
def __init__(self, environment=None, agent_id=0, state=()):
super().__init__(environment=environment, agent_id=agent_id, state=state)
self.neutral_discontent_spon_prob = np.random.normal(environment.neutral_discontent_spon_prob,
environment.standard_variance)
self.neutral_discontent_infected_prob = np.random.normal(environment.neutral_discontent_infected_prob,
environment.standard_variance)
self.neutral_content_spon_prob = np.random.normal(environment.neutral_content_spon_prob,
environment.standard_variance)
self.neutral_content_infected_prob = np.random.normal(environment.neutral_content_infected_prob,
environment.standard_variance)
self.neutral_discontent_spon_prob = np.random.normal(environment.environment_params['neutral_discontent_spon_prob'],
environment.environment_params['standard_variance'])
self.neutral_discontent_infected_prob = np.random.normal(environment.environment_params['neutral_discontent_infected_prob'],
environment.environment_params['standard_variance'])
self.neutral_content_spon_prob = np.random.normal(environment.environment_params['neutral_content_spon_prob'],
environment.environment_params['standard_variance'])
self.neutral_content_infected_prob = np.random.normal(environment.environment_params['neutral_content_infected_prob'],
environment.environment_params['standard_variance'])
self.discontent_neutral = np.random.normal(environment.discontent_neutral, environment.standard_variance)
self.discontent_content = np.random.normal(environment.discontent_content, environment.variance_d_c)
self.discontent_neutral = np.random.normal(environment.environment_params['discontent_neutral'],
environment.environment_params['standard_variance'])
self.discontent_content = np.random.normal(environment.environment_params['discontent_content'],
environment.environment_params['variance_d_c'])
self.content_discontent = np.random.normal(environment.content_discontent, environment.variance_c_d)
self.content_neutral = np.random.normal(environment.content_neutral, environment.standard_variance)
self.content_discontent = np.random.normal(environment.environment_params['content_discontent'],
environment.environment_params['variance_c_d'])
self.content_neutral = np.random.normal(environment.environment_params['content_neutral'],
environment.environment_params['standard_variance'])
def step(self, now):
if self.state['id'] == 0: