def __call__(self,dummy=0):
agentList = []
agentList.append(targetPriceDist(margDistPricePrediction = self.margDistPrediction,
name = 'targetPrice'))
agentList.append(riskAware(margDistPricePrediction = self.margDistPrediction,
A = self.A,
name = 'riskAware_A={0}'.format(self.A)))
agentList.append(straightMU8(margDistPricePrediction = self.margDistPrediction,
name = 'straighMU8'))
agentList.append(targetMU8(margDistPricePrediction = self.margDistPrediction,
name = 'targetMU8'))
agentList.append(targetMUS8(margDistPricePrediction = self.margDistPrediction,
name = 'targetMUS8'))
agentSurplus = []
for g in range(0,self.nGames):
# print 'Iteration = {0}'.format(g)
v = numpy.random.random_integers(low=0,high=50,size=5)
v.sort()
#sort is in ascending order,
#switch around for descending
v = v[::-1]
l = numpy.random.random_integers(low=1,high=5)
#each game set all the valuations and lambdas to be equal
#for fair evaulation (symmetric game)
for agent in agentList:
agent.v = v
agent.l = l
auction = simultaneousAuction(agentList)
auction.runAuction()
auction.notifyAgents()
agentSurplus.append(auction.agentSurplus())
return numpy.atleast_2d(agentSurplus).astype(numpy.float)
def __call__(self, dummy=0):
agentSurplus = []
for i in xrange(self.nGames):
# print 'Iteration = {0}'.format(i)
agentList = []
riskAware1 = riskAware(
margDistPricePrediction=self.margDistPrediction, A=0, name="riskAware_A={0}".format(0)
)
agentList.append(
targetPriceDist(
margDistPricePrediction=self.margDistPrediction, v=riskAware1.v, name="targetPrice", l=riskAware1.l
)
)
agentList.append(riskAware1)
for A in xrange(2, 30, 2):
agentList.append(
riskAware(
margDistPricePrediction=self.margDistPrediction,
A=A,
name="riskAware_A={0}".format(A),
v=riskAware1.v,
l=riskAware1.l,
)
)
auction = simultaneousAuction(agentList)
auction.runAuction()
auction.notifyAgents()
agentSurplus.append(auction.agentSurplus())
return numpy.atleast_2d(agentSurplus).astype(numpy.float)
