def NetworkBase_timeStep(self, time, supportDepressionImpact,
concealDiscriminateImpact, discriminateConcealImpact,
discriminateDepressionImpact, concealDepressionImpact,
support=None, conceal=None, discrimination=None,
attitude=None, depression=None, policyScore=None, bias=0):
ONLY_NON_DISCRIMINATORY = 1
ONLY_DISCRIMINATORY = 2
# "Natural gap" between passing of enforced policies
TIME_GAP = 5
# Considers the cases where the type of policy is externally
# enforced (not proposed at random in simulation)
if (policyScore or bias) and time % TIME_GAP == 0:
newPolicy = Policy(time, score=policyScore, biasPass=bias)
# Converst from the numerical bias to a boolean for if
# the scores are bias towards discriminatory or support
if bias == ONLY_NON_DISCRIMINATORY: onlyDisc = False
else: onlyDisc = True
self.NetworkBase_enforcePolicy(time, score=policyScore,
onlyDisc=onlyDisc)
else:
newPolicy = Policy(time)
newPolicy.Policy_considerPolicy(self, time, self.policyCap)
self.NetworkBase_updatePolicyScore(time)
for agentID in self.Agents:
self.Agents[agentID].Agent_updateAgent(time, supportDepressionImpact,
concealDiscriminateImpact, discriminateConcealImpact,
discriminateDepressionImpact, concealDepressionImpact,
support, conceal, discrimination, attitude, depression)
